Abstract Background: The emerging Artificial Intelligence (AI) based Conversational Agents (CA) capable of delivering evidence-based psychotherapy presents a unique opportunity to solve longstanding issues such as social stigma and demand-supply imbalance associated with traditional mental health care services. However, the emerging literature points to several socio-ethical challenges which may act as inhibitors to the adoption in the minds of the consumers. We also observe a paucity of research focusing on determinants of adoption and use of AI-based CAs in mental healthcare. In this setting, this study aims to understand the factors influencing the adoption and use of Intelligent CAs in mental healthcare by examining the perceptions of actual users. Method: The study followed a qualitative approach based on netnography and used a rigorous iterative thematic analysis of publicly available user reviews of popular mental health chatbots to develop a comprehensive framework of factors influencing the user’s decision to adopt mental healthcare CA. Results: We developed a comprehensive thematic map comprising of four main themes, namely, perceived risk, perceived benefits, trust, and perceived anthropomorphism, along with its 12 constituent subthemes that provides a visualization of the factors that govern the user’s adoption and use of mental healthcare CA. Conclusions: Insights from our research could guide future research on mental healthcare CA use behavior. Additionally, it could also aid designers in framing better design decisions that meet consumer expectations. Our research could also guide healthcare policymakers and regulators in integrating this technology into formal healthcare delivery systems. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/1/ Recommended Citation Prakash, Ashish Viswanath and Das, Saini (2020) "Intelligent Conversational Agents in Mental Healthcare Services: A Thematic Analysis of User Perceptions," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 1. DOI: 10.17705/1pais.12201
{"title":"Intelligent Conversational Agents in Mental Healthcare Services: A Thematic Analysis of User Perceptions","authors":"A. V. Prakash, Saini Das","doi":"10.17705/1PAIS.12201","DOIUrl":"https://doi.org/10.17705/1PAIS.12201","url":null,"abstract":"Abstract Background: The emerging Artificial Intelligence (AI) based Conversational Agents (CA) capable of delivering evidence-based psychotherapy presents a unique opportunity to solve longstanding issues such as social stigma and demand-supply imbalance associated with traditional mental health care services. However, the emerging literature points to several socio-ethical challenges which may act as inhibitors to the adoption in the minds of the consumers. We also observe a paucity of research focusing on determinants of adoption and use of AI-based CAs in mental healthcare. In this setting, this study aims to understand the factors influencing the adoption and use of Intelligent CAs in mental healthcare by examining the perceptions of actual users. Method: The study followed a qualitative approach based on netnography and used a rigorous iterative thematic analysis of publicly available user reviews of popular mental health chatbots to develop a comprehensive framework of factors influencing the user’s decision to adopt mental healthcare CA. Results: We developed a comprehensive thematic map comprising of four main themes, namely, perceived risk, perceived benefits, trust, and perceived anthropomorphism, along with its 12 constituent subthemes that provides a visualization of the factors that govern the user’s adoption and use of mental healthcare CA. Conclusions: Insights from our research could guide future research on mental healthcare CA use behavior. Additionally, it could also aid designers in framing better design decisions that meet consumer expectations. Our research could also guide healthcare policymakers and regulators in integrating this technology into formal healthcare delivery systems. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/1/ Recommended Citation Prakash, Ashish Viswanath and Das, Saini (2020) \"Intelligent Conversational Agents in Mental Healthcare Services: A Thematic Analysis of User Perceptions,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 1. DOI: 10.17705/1pais.12201","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"84 11 1","pages":"1"},"PeriodicalIF":1.8,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87659700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: In recent years, demand response (DR) has gained increased attention from utilities, regulators, and market aggregators to meet the growing demands of electricity. The key aspect of a successful DR program is the effective processing of data and information to gain critical insights. This study aims to identify information processing needs and capacity that interact to improve energy DR effectiveness. To this end, organizational information processing theory (OIPT) is employed to understand the role of Information Systems (IS) resources in achieving desired DR program performance. This study also investigates how information processing for DR systems differ between developing (India) and developed (Australia) countries. Method: This work adopts a case study methodology to propose a theoretical framework using OIPT for information processing in DR systems. The study further employs a comparative case data analyses between Australian and Indian DR initiatives. Results: Our cross case analysis identifies variables of value creation in designing DR programs - pricing structure for demand side participation, renewable integration at supply side, reforms in the regulatory instruments, and emergent technology. This research posits that the degree of information processing capacity mediates the influence of information processing needs on energy DR effectiveness. Further, we develop five propositions on the interaction between task based information processing needs and capacity, and their influence on DR effectiveness. Conclusions: The study generates insights on the role of IS resources that can help stakeholders in the electricity value chain to take informed and intelligent decisions for improved performance of DR programs. Recommended Citation Sangeeth L R, Silpa; Mathew, Saji K.; and Potdar, Vidyasagar (2020) "Information Processing view of Electricity Demand Response Systems: A Comparative Study Between India and Australia," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 2. DOI: 10.17705/1pais.12402 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/2
摘要背景:近年来，需求响应(DR)越来越受到公用事业、监管机构和市场聚集者的关注，以满足日益增长的电力需求。成功的DR计划的关键方面是有效地处理数据和信息，以获得关键的见解。本研究旨在找出资讯处理需求与能力的相互作用，以提高能源防灾效能。为此，组织信息处理理论(OIPT)被用来理解信息系统(is)资源在实现期望的DR计划性能中的作用。本研究还探讨了发展中国家(印度)和发达国家(澳大利亚)DR系统的信息处理有何不同。方法:本研究采用个案研究的方法，提出了一个使用OIPT在DR系统中进行信息处理的理论框架。该研究进一步采用了澳大利亚和印度DR计划之间的比较案例数据分析。结果:我们的跨案例分析确定了DR项目设计中价值创造的变量——需求方参与的定价结构、供应方的可再生能源整合、监管工具的改革和新兴技术。本研究认为，信息处理能力的高低在信息处理需求对能量DR有效性的影响中起中介作用。此外，我们提出了基于任务的信息处理需求和能力之间的相互作用以及它们对DR有效性的影响的五个命题。结论:该研究对信息系统资源的作用产生了见解，可以帮助电力价值链中的利益相关者做出明智的决策，以提高DR计划的绩效。Sangeeth L R, Silpa;马修，Saji K.;和Potdar, Vidyasagar (2020)“电力需求响应系统的信息处理观点:印度和澳大利亚的比较研究”，《亚太信息系统协会杂志》，第12卷，第4期，第2条。pais.12402 DOI: 10.17705/1可在:https://aisel.aisnet.org/pajais/vol12/iss4/2
{"title":"Information Processing view of Electricity Demand Response Systems: A Comparative Study Between India and Australia","authors":"Silpa Sangeeth L.R., Saji K. Mathew, V. Potdar","doi":"10.17705/1PAIS.12402","DOIUrl":"https://doi.org/10.17705/1PAIS.12402","url":null,"abstract":"Abstract Background: In recent years, demand response (DR) has gained increased attention from utilities, regulators, and market aggregators to meet the growing demands of electricity. The key aspect of a successful DR program is the effective processing of data and information to gain critical insights. This study aims to identify information processing needs and capacity that interact to improve energy DR effectiveness. To this end, organizational information processing theory (OIPT) is employed to understand the role of Information Systems (IS) resources in achieving desired DR program performance. This study also investigates how information processing for DR systems differ between developing (India) and developed (Australia) countries. Method: This work adopts a case study methodology to propose a theoretical framework using OIPT for information processing in DR systems. The study further employs a comparative case data analyses between Australian and Indian DR initiatives. Results: Our cross case analysis identifies variables of value creation in designing DR programs - pricing structure for demand side participation, renewable integration at supply side, reforms in the regulatory instruments, and emergent technology. This research posits that the degree of information processing capacity mediates the influence of information processing needs on energy DR effectiveness. Further, we develop five propositions on the interaction between task based information processing needs and capacity, and their influence on DR effectiveness. Conclusions: The study generates insights on the role of IS resources that can help stakeholders in the electricity value chain to take informed and intelligent decisions for improved performance of DR programs. Recommended Citation Sangeeth L R, Silpa; Mathew, Saji K.; and Potdar, Vidyasagar (2020) \"Information Processing view of Electricity Demand Response Systems: A Comparative Study Between India and Australia,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 2. DOI: 10.17705/1pais.12402 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/2","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"322 1","pages":"2"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77567050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Wolff, Sebastian Hobert, Kristin Masuch, M. Schumann
Abstract Background: Chatbots are currently on the rise as more and more researchers tackle this topic from different perspectives. Simultaneously, workplaces and ways of working are increasingly changing in the context of digitalization. However, despite the promised benefits, the changes still show problems that should be tackled more purposefully by chatbots. Application areas and underlying objectives of a chatbot application at digital workplaces especially have not been researched yet. Method: To solve the existing problems and close the research gap, we did a qualitative empirical study based on the grounded-theory process. Therefore, we interviewed 29 experts in a cross-section of different industry sectors and sizes. The experts work in the information systems domain or have profound knowledge of (future) workplace design, especially regarding chatbots. Results: We identified three fundamental usage scenarios of chatbots in seven possible application areas. As a result of this, we found both divisional and cross-divisional application areas at workplaces. Furthermore, we detected fifteen underlying objectives of a chatbot operation, which can be categorized from direct over mid-level to indirect ones. We show dependencies between them, as well. Conclusions: Our results prove the applicability of chatbots in workplace settings. The chatbot operation seems especially fruitful in the support or the self-service domain, where it provides information, carries out processes, or captures process-related data. Additionally, automation, workload reduction, and cost reduction are the fundamental objectives of chatbots in workplace scenarios. With this study, we contribute to the scientific knowledge base by providing knowledge from practice for future research approaches and closing the outlined research gap. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/3/ Recommended Citation Meyer von Wolff, Raphael; Hobert, Sebastian; Masuch, Kristin; and Schumann, Matthias (2020) "Chatbots at Digital Workplaces – A Grounded-Theory Approach for Surveying Application Areas and Objectives," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 3. DOI: 10.17705/1pais.12203 Available at: https://aisel.aisnet.org/pajais/vol12/iss2/3
{"title":"Chatbots at Digital Workplaces - A Grounded-Theory Approach for Surveying Application Areas and Objectives","authors":"R. Wolff, Sebastian Hobert, Kristin Masuch, M. Schumann","doi":"10.17705/1PAIS.12203","DOIUrl":"https://doi.org/10.17705/1PAIS.12203","url":null,"abstract":"Abstract Background: Chatbots are currently on the rise as more and more researchers tackle this topic from different perspectives. Simultaneously, workplaces and ways of working are increasingly changing in the context of digitalization. However, despite the promised benefits, the changes still show problems that should be tackled more purposefully by chatbots. Application areas and underlying objectives of a chatbot application at digital workplaces especially have not been researched yet. Method: To solve the existing problems and close the research gap, we did a qualitative empirical study based on the grounded-theory process. Therefore, we interviewed 29 experts in a cross-section of different industry sectors and sizes. The experts work in the information systems domain or have profound knowledge of (future) workplace design, especially regarding chatbots. Results: We identified three fundamental usage scenarios of chatbots in seven possible application areas. As a result of this, we found both divisional and cross-divisional application areas at workplaces. Furthermore, we detected fifteen underlying objectives of a chatbot operation, which can be categorized from direct over mid-level to indirect ones. We show dependencies between them, as well. Conclusions: Our results prove the applicability of chatbots in workplace settings. The chatbot operation seems especially fruitful in the support or the self-service domain, where it provides information, carries out processes, or captures process-related data. Additionally, automation, workload reduction, and cost reduction are the fundamental objectives of chatbots in workplace scenarios. With this study, we contribute to the scientific knowledge base by providing knowledge from practice for future research approaches and closing the outlined research gap. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/3/ Recommended Citation Meyer von Wolff, Raphael; Hobert, Sebastian; Masuch, Kristin; and Schumann, Matthias (2020) \"Chatbots at Digital Workplaces – A Grounded-Theory Approach for Surveying Application Areas and Objectives,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 3. DOI: 10.17705/1pais.12203 Available at: https://aisel.aisnet.org/pajais/vol12/iss2/3","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"26 10 1","pages":"3"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83525926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: Shopper convenience is a key determinant of why shoppers choose and buy from a particular retail format – online versus instore. However, there are no systematic studies that assess which dimension of shopper convenience is salient for shoppers in online versus instore shopping instore. Further, to the best of our knowledge no study has investigated whether and how these determinant dimensions of shopper convenience have changed with the advent of COVID-19. Method: In this study, 1324 responses of 172 shoppers using the Myers and Alpert (1968) approach were analyzed to identify the determinant dimensions of convenience for online and instore shopping in the pre-COVID-19 era and test their validity in the context of their actual purchase behavior. Later, the study was replicated with the same shoppers in the post-COVID-19 era. Results: The results of the study show that of the four dimensions of convenience, while shopper assessment of “search” convenience was the most important attribute for both online and instore shopping, and “transaction” convenience the most different between the two retail outlets, the determinant dimensions in both retail outlets were “access” and “possession” convenience with instore shopping holding an advantage in possession” convenience and online shopping holding an advantage in “access” convenience. However, in a replication of the study in the post coronavirus era, online shopping outlets were found to have the advantage in both the determinant dimensions of convenience. Conclusion: This study perhaps for the first time show how shopper convenience perceptions have changed in pre and post COVID-19 eras for both instore and online shopping. Recommended Citation Kakar, Ashish and Kakar, Adarsh Kumar (2020) "Identifying the Determinant Dimensions of Shopper Convenience for Online Versus Instore Shopping in the Pre and Post CoVID-19 Eras," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 4. DOI: 10.17705/1pais.12404 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/4
{"title":"Identifying the Determinant Dimensions of Shopper Convenience for Online Versus Instore Shopping in the Pre and Post CoVID-19 Eras","authors":"Ashish Kakar, Adarsh Kumar Kakar","doi":"10.17705/1PAIS.12404","DOIUrl":"https://doi.org/10.17705/1PAIS.12404","url":null,"abstract":"Abstract Background: Shopper convenience is a key determinant of why shoppers choose and buy from a particular retail format – online versus instore. However, there are no systematic studies that assess which dimension of shopper convenience is salient for shoppers in online versus instore shopping instore. Further, to the best of our knowledge no study has investigated whether and how these determinant dimensions of shopper convenience have changed with the advent of COVID-19. Method: In this study, 1324 responses of 172 shoppers using the Myers and Alpert (1968) approach were analyzed to identify the determinant dimensions of convenience for online and instore shopping in the pre-COVID-19 era and test their validity in the context of their actual purchase behavior. Later, the study was replicated with the same shoppers in the post-COVID-19 era. Results: The results of the study show that of the four dimensions of convenience, while shopper assessment of “search” convenience was the most important attribute for both online and instore shopping, and “transaction” convenience the most different between the two retail outlets, the determinant dimensions in both retail outlets were “access” and “possession” convenience with instore shopping holding an advantage in possession” convenience and online shopping holding an advantage in “access” convenience. However, in a replication of the study in the post coronavirus era, online shopping outlets were found to have the advantage in both the determinant dimensions of convenience. Conclusion: This study perhaps for the first time show how shopper convenience perceptions have changed in pre and post COVID-19 eras for both instore and online shopping. Recommended Citation Kakar, Ashish and Kakar, Adarsh Kumar (2020) \"Identifying the Determinant Dimensions of Shopper Convenience for Online Versus Instore Shopping in the Pre and Post CoVID-19 Eras,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 4. DOI: 10.17705/1pais.12404 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/4","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"26 1","pages":"4"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87144278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: There is increasing pressure on organizations to undergo digital transformation. The literature provides substantial but unconsolidated knowledge of relevant factors that enable organizations to fully utilize the potential of digital technology transformations. This work revises, expands, and updates a previously published framework of factors that enable digital organizational transformation structured along traditional strategic, tactical, operational, and normative management perspectives. Method: Following a design science approach, this paper developed a framework in two steps. The starting point was an initial iteration of the framework developed from a structured literature review; that version of the framework was evaluated based on the results of qualitative interviews that were conducted with experts. A revised framework was generated to take advantage of a more recent literature review; the input of focus groups and qualitative interviews; and a second full design cycle was executed. The revised framework is presented in this paper. Results: The revised framework structures nine relevant factors along the traditional management perspectives of strategic, tactical, operational, and normative management, and it integrates feedback from the scientific community and experts from practice. Conclusions: The developed framework enables a structured overview of factors relevant for commencing digital transformation initiatives. This clear structure, as well as its close links to traditional operational, tactical, strategic, and normative aspects of management, can support practitioners in preparing their organizations for digital transformation. Recommended Citation Rueckel, David; Mühlburger, Manuel; and Koch, Stefan (2020) "An Updated Framework of Factors Enabling Digital Transformation," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 1. DOI: 10.17705/1pais.12401 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/1 DOI
背景:企业面临越来越大的数字化转型压力。文献提供了大量但未整合的相关因素知识，使组织能够充分利用数字技术转型的潜力。这项工作修订、扩展和更新了以前发布的一个因素框架，该框架使数字化组织转型能够按照传统的战略、战术、操作和规范管理观点进行结构化。方法:遵循设计科学的方法，本文分两步开发了一个框架。起点是从结构化文献综述中开发的框架的初始迭代;该版本的框架是根据与专家进行的定性访谈的结果进行评估的。利用最近的文献综述，产生了一个修订的框架;焦点小组和定性访谈的输入;第二个完整的设计周期被执行。本文提出了修订后的框架。结果:修订后的框架按照战略管理、战术管理、操作管理和规范管理的传统管理视角构建了9个相关因素，并整合了来自科学界和实践专家的反馈。结论:开发的框架能够对开始数字化转型计划的相关因素进行结构化概述。这种清晰的结构，以及它与管理的传统操作、战术、战略和规范方面的密切联系，可以支持从业者为他们的组织做好数字化转型的准备。Rueckel, David;Muhlburger曼纽尔;《斯蒂芬·科赫》(2020)“推动数字化转型的因素更新框架”，《亚太信息系统协会杂志》，第12卷，第4期，第1条。pais.12401 DOI: 10.17705/1可在:https://aisel.aisnet.org/pajais/vol12/iss4/1 DOI
{"title":"An Updated Framework of Factors Enabling Digital Transformation","authors":"David Rueckel, Manuel Mühlburger, S. Koch","doi":"10.17705/1PAIS.12401","DOIUrl":"https://doi.org/10.17705/1PAIS.12401","url":null,"abstract":"Abstract Background: There is increasing pressure on organizations to undergo digital transformation. The literature provides substantial but unconsolidated knowledge of relevant factors that enable organizations to fully utilize the potential of digital technology transformations. This work revises, expands, and updates a previously published framework of factors that enable digital organizational transformation structured along traditional strategic, tactical, operational, and normative management perspectives. Method: Following a design science approach, this paper developed a framework in two steps. The starting point was an initial iteration of the framework developed from a structured literature review; that version of the framework was evaluated based on the results of qualitative interviews that were conducted with experts. A revised framework was generated to take advantage of a more recent literature review; the input of focus groups and qualitative interviews; and a second full design cycle was executed. The revised framework is presented in this paper. Results: The revised framework structures nine relevant factors along the traditional management perspectives of strategic, tactical, operational, and normative management, and it integrates feedback from the scientific community and experts from practice. Conclusions: The developed framework enables a structured overview of factors relevant for commencing digital transformation initiatives. This clear structure, as well as its close links to traditional operational, tactical, strategic, and normative aspects of management, can support practitioners in preparing their organizations for digital transformation. Recommended Citation Rueckel, David; Mühlburger, Manuel; and Koch, Stefan (2020) \"An Updated Framework of Factors Enabling Digital Transformation,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 1. DOI: 10.17705/1pais.12401 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/1 DOI","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"30 1","pages":"1"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83368410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: Big data analytics (BDA) is considered an enabler of organizational agility because it helps firms to sense market-based changes and improve decision making in a more informed and timely manner. However, in reality, only a handful of firms have achieved improvement in their outcomes by using BDA. To address this inconsistency, our study explores the conditions under which BDA use translates into agility. We particularly focus on organizational culture because in the pursuit of agility, culture is emphasized as a source of stability that allows firms to successfully adapt to the changing environment. Therefore, by assuming organizational culture as a contextual factor, this study examines the moderating effect of organizational culture on the link between BDA use and agility. Method: We employ a concept from data democratization called “democratization culture,” which values the willingness to share information and the acceptance of diversity. We also adopt collectivistic culture for comparison with democratization culture. Further, BDA use is decomposed into advanced and basic use based on the functions and BDA types. A model is proposed and empirically validated through survey data collected from 304 senior-level managers. Results: Our findings suggest that the moderating effects of democratization culture on agility are different depending on whether it is combined with advanced or basic BDA use. Conclusions: This study provides initial empirical evidence that contributes to the scarce research on the role of organizational culture in the link between BDA use and agility. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/2/ Recommended Citation Hyun, Youyung; Kamioka, Taro; and Hosoya, Ryuichi (2020) "Improving Agility Using Big Data Analytics: The Role of Democratization Culture," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 2. DOI: 10.17705/1pais.12202 Available at: https://aisel.aisnet.org/pajais/vol12/iss2/2
{"title":"Improving Agility Using Big Data Analytics: The Role of Democratization Culture","authors":"Youyung Hyun, Taro Kamioka, Ryuichi Hosoya","doi":"10.17705/1PAIS.12202","DOIUrl":"https://doi.org/10.17705/1PAIS.12202","url":null,"abstract":"Abstract Background: Big data analytics (BDA) is considered an enabler of organizational agility because it helps firms to sense market-based changes and improve decision making in a more informed and timely manner. However, in reality, only a handful of firms have achieved improvement in their outcomes by using BDA. To address this inconsistency, our study explores the conditions under which BDA use translates into agility. We particularly focus on organizational culture because in the pursuit of agility, culture is emphasized as a source of stability that allows firms to successfully adapt to the changing environment. Therefore, by assuming organizational culture as a contextual factor, this study examines the moderating effect of organizational culture on the link between BDA use and agility. Method: We employ a concept from data democratization called “democratization culture,” which values the willingness to share information and the acceptance of diversity. We also adopt collectivistic culture for comparison with democratization culture. Further, BDA use is decomposed into advanced and basic use based on the functions and BDA types. A model is proposed and empirically validated through survey data collected from 304 senior-level managers. Results: Our findings suggest that the moderating effects of democratization culture on agility are different depending on whether it is combined with advanced or basic BDA use. Conclusions: This study provides initial empirical evidence that contributes to the scarce research on the role of organizational culture in the link between BDA use and agility. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/2/ Recommended Citation Hyun, Youyung; Kamioka, Taro; and Hosoya, Ryuichi (2020) \"Improving Agility Using Big Data Analytics: The Role of Democratization Culture,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 2. DOI: 10.17705/1pais.12202 Available at: https://aisel.aisnet.org/pajais/vol12/iss2/2","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"37 1","pages":"2"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81400962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: Small and medium enterprises (SMEs) in Indonesia have been encouraged by the Indonesian government to adopt e-marketplace platforms. However, the rate of e-marketplace adoption is shown to be low. In an effort to address the underlying issues this paper reports on the application of a modified form of the Technology-Environment-Organization framework that includes attributes of individual SME owner-managers. The application of the Individual- Technology-Organization-Environment (ITOE) framework is considered necessary given the overwhelming number of micro-SMEs that have one owner-manager and employ less than ten employees. The study takes a case study approach by studying e-marketplace adoption of SMEs in the province of Yogyakarta, a major city of Indonesia. Method: Using a survey instrument, data were collected using randomized sampling from SMEs in Yogyakarta and analyzed using the partial least squares method. Results: The results confirm the validity of the ITOE framework to this study context. The results also indicate that the Individual construct positively affects the organization construct in predicting e-marketplace adoption. The suitability of the ITOE framework for further application to other locations in Indonesia when investigating e-marketplace adoption by SMEs is validated. Conclusion: This study validates use of the ITOE framework in investigating e- marketplace adoption by SMEs in Indonesia. The ITOE framework can be operationalized for e-marketplace adoption, particularly when the research context has relevant factors to the individual context namely, where a predominance of micro-SMEs exists. Future research is to conduct a full-scale study of e- marketplace adoption in Indonesia. Recommended Citation Budiono, Fahrizal; Lau, S.; and Tibben, William J. (2020) "The Investigation of E-Marketplace Adoption by Small Medium Enterprises Using Individual-Technology- Organization-Environment (ITOE) Framework: A Case Study in Yogyakarta Province Indonesia," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 3. DOI: 10.17705/1pais.12403 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/3
{"title":"The Investigation of E-Marketplace Adoption by Small Medium Enterprises Using Individual-Technology- Organization-Environment (ITOE) Framework: A Case Study in Yogyakarta Province Indonesia","authors":"Fahrizal Budiono, S. Lau, W. Tibben","doi":"10.17705/1PAIS.12403","DOIUrl":"https://doi.org/10.17705/1PAIS.12403","url":null,"abstract":"Abstract Background: Small and medium enterprises (SMEs) in Indonesia have been encouraged by the Indonesian government to adopt e-marketplace platforms. However, the rate of e-marketplace adoption is shown to be low. In an effort to address the underlying issues this paper reports on the application of a modified form of the Technology-Environment-Organization framework that includes attributes of individual SME owner-managers. The application of the Individual- Technology-Organization-Environment (ITOE) framework is considered necessary given the overwhelming number of micro-SMEs that have one owner-manager and employ less than ten employees. The study takes a case study approach by studying e-marketplace adoption of SMEs in the province of Yogyakarta, a major city of Indonesia. Method: Using a survey instrument, data were collected using randomized sampling from SMEs in Yogyakarta and analyzed using the partial least squares method. Results: The results confirm the validity of the ITOE framework to this study context. The results also indicate that the Individual construct positively affects the organization construct in predicting e-marketplace adoption. The suitability of the ITOE framework for further application to other locations in Indonesia when investigating e-marketplace adoption by SMEs is validated. Conclusion: This study validates use of the ITOE framework in investigating e- marketplace adoption by SMEs in Indonesia. The ITOE framework can be operationalized for e-marketplace adoption, particularly when the research context has relevant factors to the individual context namely, where a predominance of micro-SMEs exists. Future research is to conduct a full-scale study of e- marketplace adoption in Indonesia. Recommended Citation Budiono, Fahrizal; Lau, S.; and Tibben, William J. (2020) \"The Investigation of E-Marketplace Adoption by Small Medium Enterprises Using Individual-Technology- Organization-Environment (ITOE) Framework: A Case Study in Yogyakarta Province Indonesia,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 4, Article 3. DOI: 10.17705/1pais.12403 Available at: https://aisel.aisnet.org/pajais/vol12/iss4/3","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"81 1","pages":"3"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88062844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: As a dimension of data quality in electronic health records (EHR), data completeness plays an important role in improving quality of care. Although many studies of data management focus on constructing the factors that influence data quality for the purpose of quality improvement, the constructs that are developed for interpreting factors influencing data completeness in the EHR context have received limited attention. Methods: Based on related studies, we constructed the factors influencing EHR data completeness in a conceptual model. We then examined the proposed model by surveying clinical practitioners in China. Results: Our results show that the data quality management literature can serve as a starting point to derive a conceptual model of factors influencing data completeness in the EHR context. This study also demonstrates that “resources” should be added as a factor that influences data completeness in EHR. Conclusion: Our resulting conceptual model shows a substantial explanation of data completeness in EHR assessed in this study. Although the proposed relationships between the included factors were previously supported in the literature, our work provides the beginning empirical evidence that some relationships may not be always significantly supported. The possible explanation of these differences has been discussed in the present research. This study thus benefits decision makers and EHR program managers in implementing EHR as well as EHR vendors in the EHR integration by addressing data completeness issues. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/4/ Recommended Citation Liu, Caihua; Zowghi, Didar; Talaei-Khoei, Amir; and Jin, Zhi (2020) "Empirical study of Data Completeness in Electronic Health Records in China," Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 4. DOI: 10.17705/1pais.12204 Available at: https://aisel.aisnet.org/pajais/vol12/iss2/4
{"title":"Empirical study of Data Completeness in Electronic Health Records in China","authors":"Caihua Liu, D. Zowghi, A. Talaei-Khoei, Zhi Jin","doi":"10.17705/1PAIS.12204","DOIUrl":"https://doi.org/10.17705/1PAIS.12204","url":null,"abstract":"Abstract Background: As a dimension of data quality in electronic health records (EHR), data completeness plays an important role in improving quality of care. Although many studies of data management focus on constructing the factors that influence data quality for the purpose of quality improvement, the constructs that are developed for interpreting factors influencing data completeness in the EHR context have received limited attention. Methods: Based on related studies, we constructed the factors influencing EHR data completeness in a conceptual model. We then examined the proposed model by surveying clinical practitioners in China. Results: Our results show that the data quality management literature can serve as a starting point to derive a conceptual model of factors influencing data completeness in the EHR context. This study also demonstrates that “resources” should be added as a factor that influences data completeness in EHR. Conclusion: Our resulting conceptual model shows a substantial explanation of data completeness in EHR assessed in this study. Although the proposed relationships between the included factors were previously supported in the literature, our work provides the beginning empirical evidence that some relationships may not be always significantly supported. The possible explanation of these differences has been discussed in the present research. This study thus benefits decision makers and EHR program managers in implementing EHR as well as EHR vendors in the EHR integration by addressing data completeness issues. Available at: https://aisel.aisnet.org/pajais/vol12/iss2/4/ Recommended Citation Liu, Caihua; Zowghi, Didar; Talaei-Khoei, Amir; and Jin, Zhi (2020) \"Empirical study of Data Completeness in Electronic Health Records in China,\" Pacific Asia Journal of the Association for Information Systems: Vol. 12: Iss. 2, Article 4. DOI: 10.17705/1pais.12204 Available at: https://aisel.aisnet.org/pajais/vol12/iss2/4","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"65 1","pages":"4"},"PeriodicalIF":1.8,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86209455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background : In today’s business environment, BI systems are frequently bundled together or built with a good connection to existing ERP systems. Businesses implementing BI alone may not receive its full benefit if the necessary support structure and a fit of it to its problem domain are not in place. Methods : In this study, we explored organizational support and problem space complexity in three models (base, direct-effect and moderation models) to study BI’s effect on organizational performance. Results : The moderation model explains the most variance of the dependent variable – organizational performance. Problem space complexity had both a direct effect on organizational performance and the relationship between BI implementation and this dependent variable. Organizational support along with its first-order factors did not have statistical significance on organizational performance. Conclusions : The resulting moderation model provides the best explanation of organizational performance among the three models tested. The confirmed effects of problem space complexity show that matching BI implementation to the complexity of the problem in hand drives business performance. Organizational support may not be consistently required throughout all stages of BI adoption. As the BI literature has shown, the effect of organizational support on BI implementation could very much be on individuals in areas of affective commitment, extra-role performance and end-user satisfaction. Our work provides the beginning empirical evidence that such effects on individuals may not always result in business performance.
{"title":"The Role of Organizational Support and Problem Space Complexity on Organizational Performance - A Business Intelligence Perspective","authors":"S. Hung, Kuanchin Chen","doi":"10.17705/1pais.12101","DOIUrl":"https://doi.org/10.17705/1pais.12101","url":null,"abstract":"Background : In today’s business environment, BI systems are frequently bundled together or built with a good connection to existing ERP systems. Businesses implementing BI alone may not receive its full benefit if the necessary support structure and a fit of it to its problem domain are not in place. Methods : In this study, we explored organizational support and problem space complexity in three models (base, direct-effect and moderation models) to study BI’s effect on organizational performance. Results : The moderation model explains the most variance of the dependent variable – organizational performance. Problem space complexity had both a direct effect on organizational performance and the relationship between BI implementation and this dependent variable. Organizational support along with its first-order factors did not have statistical significance on organizational performance. Conclusions : The resulting moderation model provides the best explanation of organizational performance among the three models tested. The confirmed effects of problem space complexity show that matching BI implementation to the complexity of the problem in hand drives business performance. Organizational support may not be consistently required throughout all stages of BI adoption. As the BI literature has shown, the effect of organizational support on BI implementation could very much be on individuals in areas of affective commitment, extra-role performance and end-user satisfaction. Our work provides the beginning empirical evidence that such effects on individuals may not always result in business performance.","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"28 1","pages":"1"},"PeriodicalIF":1.8,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83240290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Firms recently rely on enterprise systems, such as enterprise resource planning (ERP), to integrate, automate, and support business strategy and operations. However, uncertain environments require firms continuously adapt their ERP systems to meet changing business demands in the post-implementation stage. What capability can drive ERP post-implementation adaptation (PIA) deserves further research. Based on the dynamic capabilities view, we propose that dynamic IT capabilities for ERP, namely IT sensing, IT learning, IT integration, and IT coordination capability, can drive ERP-PIA. Method: A cross-sectional and matched-pair mail survey of both business and IS executives was administrated for collecting data from the top 1,000 manufacturing firms in Taiwan. Partial least squares structural equation model (PLS-SEM) was constructed for measurement validation and hypotheses testing. Results: Based on 128 samples (74 firms), our findings demonstrate the importance of the dynamic IT capabilities for achieving higher levels of ERP-PIA. ERP-PIA can facilitate greater organizational benefits from system use. Conclusions: This study conceptualizes and empirically demonstrates the importance of ERP-PIA, which provides a specific example of IT/IS adaptation. This study also conceptualizes dynamic IT capabilities for ERP, and theorizes how these capabilities interact to enable firms to adapt ERP systems to fulfill the emergent demands. This study improvs the understanding of the roles of dynamic IT capabilities for ERP in enabling ERP-PIA and organizational benefits through a richer theoretical framing than that of prior studies.
{"title":"Adapting ERP Systems in the Post-implementation Stage: Dynamic IT Capabilities for ERP","authors":"N. Lee, J. Chang","doi":"10.17705/1pais.12102","DOIUrl":"https://doi.org/10.17705/1pais.12102","url":null,"abstract":"Background: Firms recently rely on enterprise systems, such as enterprise resource planning (ERP), to integrate, automate, and support business strategy and operations. However, uncertain environments require firms continuously adapt their ERP systems to meet changing business demands in the post-implementation stage. What capability can drive ERP post-implementation adaptation (PIA) deserves further research. Based on the dynamic capabilities view, we propose that dynamic IT capabilities for ERP, namely IT sensing, IT learning, IT integration, and IT coordination capability, can drive ERP-PIA. Method: A cross-sectional and matched-pair mail survey of both business and IS executives was administrated for collecting data from the top 1,000 manufacturing firms in Taiwan. Partial least squares structural equation model (PLS-SEM) was constructed for measurement validation and hypotheses testing. Results: Based on 128 samples (74 firms), our findings demonstrate the importance of the dynamic IT capabilities for achieving higher levels of ERP-PIA. ERP-PIA can facilitate greater organizational benefits from system use. Conclusions: This study conceptualizes and empirically demonstrates the importance of ERP-PIA, which provides a specific example of IT/IS adaptation. This study also conceptualizes dynamic IT capabilities for ERP, and theorizes how these capabilities interact to enable firms to adapt ERP systems to fulfill the emergent demands. This study improvs the understanding of the roles of dynamic IT capabilities for ERP in enabling ERP-PIA and organizational benefits through a richer theoretical framing than that of prior studies.","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":"96 1","pages":"2"},"PeriodicalIF":1.8,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89249847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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