Pub Date : 2021-09-28DOI: 10.1080/10580530.2021.1971021
C. Olszak, J. Zurada, D. Cetindamar
The development of the Internet, social media, distributed databases, and various mobile devices has caused a considerable increase in data. Much of this diverse data in unstructured and structured forms has a high business value and, if properly utilized, can become an important organizational asset. It contains various information about customers, competition, labor market, and development trends for industries, products, services, and the public and political mood. For innovative and sustainable development, organizations need to utilize data. They need to increase sales, identify future opportunities and new markets, outperform the competition, enhance products and services, recruit talent, improve operations, perform forecasting, protect the brand, and identify areas for improvement, to name a few ways of utilizing data. However, many organizations make limited use of this valuable data available to them either because they lack the necessary tools or do not understand the value of this data. The main objective of this special issue (SI) is to provide organizations with a theoretical, conceptual, and applied grounded discussion of Business Intelligence and Big Data (BI & BD) to aid in innovative and sustainable development and effective decision-making. This SI of Information Systems Management constitutes eight papers, six of which appear in this issue. The remaining two articles will appear in volume 39 issue 1. All authors did a great job of developing and delivering diverse papers relevant to the topic. Since all papers became high caliber papers at the end of the review process, they are all included. The first article titled “Data Mining for Small Shops Empowering Brick-and-Mortar Stores through BI Functionalities of a Loyalty Program,” is written by Michael Reiner Kamm, Jan-Peter Kucklick, Johannes Schneider, & Jan vom Brocke. This paper presents a case of how small stores could benefit from the application of sophisticated BI solutions. The authors show the analysis of shopping data of 13 years, 19,000 customers, and 55 shops and discuss how the loyalty program empowered data-based decision support for these show owners. In the second article entitled “Shortening Delivery Times by Predicting Customers’ Online Purchases: a Case Study in the Fashion” Jennifer Weingarten and Stefan Spinler examine on online retailers’ critical problems, especially on their disadvantage regarding the delivery times compared to traditional brick and mortar stores. The authors develop a prediction model for anticipatory shipping that can easily be implemented and used to predict purchases. The third article titled “User Related Challenges of Self-Service Business Intelligence” by Christian Lennerholt, Joeri van Laere, and Eva Söderström focus on Self-service Business Intelligence (SSBI). The paper aims to improve how non-technical casual users could use BI in a self-reliant manner without technical power users’ support. This research draws on an empirical
互联网、社交媒体、分布式数据库和各种移动设备的发展导致了数据的大量增加。这些以非结构化和结构化形式呈现的多样化数据中,有很多都具有很高的业务价值,如果利用得当,可以成为重要的组织资产。它包含有关客户、竞争、劳动力市场、行业、产品、服务的发展趋势以及公众和政治情绪的各种信息。为了创新和可持续发展,组织需要利用数据。他们需要增加销售,识别未来的机会和新市场,超越竞争,增强产品和服务,招聘人才,改善运营,进行预测,保护品牌,并确定需要改进的领域,仅举几例利用数据的方法。然而,由于缺乏必要的工具或不了解这些数据的价值,许多组织对这些有价值的数据使用有限。本期特刊(SI)的主要目的是为组织提供关于商业智能和大数据(BI & BD)的理论、概念和应用基础讨论,以帮助创新和可持续发展以及有效的决策。本信息系统管理专题由八篇论文组成,其中六篇发表在本期。其余两篇文章将载于第39卷第1期。所有的作者都做了一个伟大的工作,发展和提供不同的论文相关的主题。由于所有的论文在评审过程结束时都成为了高水平的论文,所以它们都被包括在内。第一篇文章题为“通过忠诚计划的BI功能为小型商店授权实体店的数据挖掘”,由Michael Reiner Kamm、Jan- peter Kucklick、Johannes Schneider和Jan vom broke撰写。本文介绍了一个小型商店如何从复杂的BI解决方案的应用中受益的案例。作者展示了对13年、19,000名顾客和55家商店的购物数据的分析,并讨论了忠诚度计划如何为这些节目所有者提供基于数据的决策支持。在第二篇题为“通过预测消费者的在线购买来缩短交货时间:一个时尚的案例研究”的文章中,Jennifer Weingarten和Stefan Spinler研究了在线零售商的关键问题,特别是与传统实体店相比,他们在交货时间上的劣势。作者开发了一个预测模型,该模型可以很容易地实现并用于预测采购。由Christian Lennerholt、Joeri van Laere和Eva Söderström撰写的第三篇文章题为“自助服务商业智能的用户相关挑战”,重点关注自助服务商业智能(SSBI)。本文旨在改进非技术临时用户如何在没有技术高级用户支持的情况下以自力更生的方式使用BI。本研究借鉴了一项实证研究,并确定了与用户相关的广泛的SSBI挑战。第四篇文章题为“敏捷分析项目的关键成功因素是什么?”,作者是D. Sandy Staples和Mikhail Tsoy,研究了在管理敏捷分析项目中发挥关键作用的因素。基于四个案例研究,该研究确定了43个潜在关键成功因素的属性。Sabine Nagel、Carl Corea和Patrick Delfmann在第5篇文章“监控数据密集型过程的不一致度量的可视化技术的认知效果”中为特刊做出了贡献。这项深入的研究分析了不同的可视化技术对监测数据密集型流程范围内的不一致度量的认知影响。信息系统管理,2021,vol . 38, no . 1。4,268 - 269 https://doi.org/10.1080/10580530.2021.1971021
{"title":"Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations","authors":"C. Olszak, J. Zurada, D. Cetindamar","doi":"10.1080/10580530.2021.1971021","DOIUrl":"https://doi.org/10.1080/10580530.2021.1971021","url":null,"abstract":"The development of the Internet, social media, distributed databases, and various mobile devices has caused a considerable increase in data. Much of this diverse data in unstructured and structured forms has a high business value and, if properly utilized, can become an important organizational asset. It contains various information about customers, competition, labor market, and development trends for industries, products, services, and the public and political mood. For innovative and sustainable development, organizations need to utilize data. They need to increase sales, identify future opportunities and new markets, outperform the competition, enhance products and services, recruit talent, improve operations, perform forecasting, protect the brand, and identify areas for improvement, to name a few ways of utilizing data. However, many organizations make limited use of this valuable data available to them either because they lack the necessary tools or do not understand the value of this data. The main objective of this special issue (SI) is to provide organizations with a theoretical, conceptual, and applied grounded discussion of Business Intelligence and Big Data (BI & BD) to aid in innovative and sustainable development and effective decision-making. This SI of Information Systems Management constitutes eight papers, six of which appear in this issue. The remaining two articles will appear in volume 39 issue 1. All authors did a great job of developing and delivering diverse papers relevant to the topic. Since all papers became high caliber papers at the end of the review process, they are all included. The first article titled “Data Mining for Small Shops Empowering Brick-and-Mortar Stores through BI Functionalities of a Loyalty Program,” is written by Michael Reiner Kamm, Jan-Peter Kucklick, Johannes Schneider, & Jan vom Brocke. This paper presents a case of how small stores could benefit from the application of sophisticated BI solutions. The authors show the analysis of shopping data of 13 years, 19,000 customers, and 55 shops and discuss how the loyalty program empowered data-based decision support for these show owners. In the second article entitled “Shortening Delivery Times by Predicting Customers’ Online Purchases: a Case Study in the Fashion” Jennifer Weingarten and Stefan Spinler examine on online retailers’ critical problems, especially on their disadvantage regarding the delivery times compared to traditional brick and mortar stores. The authors develop a prediction model for anticipatory shipping that can easily be implemented and used to predict purchases. The third article titled “User Related Challenges of Self-Service Business Intelligence” by Christian Lennerholt, Joeri van Laere, and Eva Söderström focus on Self-service Business Intelligence (SSBI). The paper aims to improve how non-technical casual users could use BI in a self-reliant manner without technical power users’ support. This research draws on an empirical ","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"268 - 269"},"PeriodicalIF":6.2,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48957043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-26DOI: 10.1080/10580530.2021.1967527
Hadi Karimikia, Harminder Singh, B. Donnellan
ABSTRACT Building on the concept of organizational citizenship behavior (OCB), this study develops a multi-level research model to examine how IS-specific OCBs displayed by IS professionals impact the perceived effectiveness of IS departments, and how the manifestation of IS-specific OCBs is in turn affected by the personal attributes of IS professionals, the leadership style of IS leaders, and the quality of the interactions within IS departments.
{"title":"How the Personalities and Behaviors of Information Systems Professionals Influence the Effectiveness of Information Systems Departments","authors":"Hadi Karimikia, Harminder Singh, B. Donnellan","doi":"10.1080/10580530.2021.1967527","DOIUrl":"https://doi.org/10.1080/10580530.2021.1967527","url":null,"abstract":"ABSTRACT Building on the concept of organizational citizenship behavior (OCB), this study develops a multi-level research model to examine how IS-specific OCBs displayed by IS professionals impact the perceived effectiveness of IS departments, and how the manifestation of IS-specific OCBs is in turn affected by the personal attributes of IS professionals, the leadership style of IS leaders, and the quality of the interactions within IS departments.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"39 1","pages":"305 - 344"},"PeriodicalIF":6.2,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43491665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-23DOI: 10.1080/10580530.2021.1964654
Koen De Maere, S. D. Haes, Michael von Kutzchenbach, Tim Huygh
ABSTRACT Despite significant investments in training, many organizations fail to implement IT Governance. This problem is known as theory-practice gap. Organizational Learning has been suggested as an approach to overcome this problem but there is still lack of understanding about how Organizational Learning applies to the context of IT Governance. Therefore, this exploratory study presents insights from a Delphi study that was conducted to identify and rank enablers and inhibitors of Organizational Learning in this context.
{"title":"Identifying the Enablers and Inhibitors of Organizational Learning in the Context of IT Governance: An Exploratory Delphi Study","authors":"Koen De Maere, S. D. Haes, Michael von Kutzchenbach, Tim Huygh","doi":"10.1080/10580530.2021.1964654","DOIUrl":"https://doi.org/10.1080/10580530.2021.1964654","url":null,"abstract":"ABSTRACT Despite significant investments in training, many organizations fail to implement IT Governance. This problem is known as theory-practice gap. Organizational Learning has been suggested as an approach to overcome this problem but there is still lack of understanding about how Organizational Learning applies to the context of IT Governance. Therefore, this exploratory study presents insights from a Delphi study that was conducted to identify and rank enablers and inhibitors of Organizational Learning in this context.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"39 1","pages":"241 - 268"},"PeriodicalIF":6.2,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44217266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-11DOI: 10.1080/10580530.2021.1965678
E. J. M. Arruda-Filho, Aline Cristina Lobo Nogueira, E. M. S. Costa
ABSTRACT This article analyzes how the perception of risk moderates the relationships between social influence and the characteristics of personal innovativeness (PI), perceived utility (PU) and trust, leading to an increase in the adoption process for mobile banking. A quantitative study was developed, using partial least squares SEM. It was identified that social influence is antecedent of PI, PU and trust in the adoption of mobile banking and perceived risk moderates these relations described.
{"title":"Social Influence Effect on Consumers’ Intention to Adopt Mobile Banking Services","authors":"E. J. M. Arruda-Filho, Aline Cristina Lobo Nogueira, E. M. S. Costa","doi":"10.1080/10580530.2021.1965678","DOIUrl":"https://doi.org/10.1080/10580530.2021.1965678","url":null,"abstract":"ABSTRACT This article analyzes how the perception of risk moderates the relationships between social influence and the characteristics of personal innovativeness (PI), perceived utility (PU) and trust, leading to an increase in the adoption process for mobile banking. A quantitative study was developed, using partial least squares SEM. It was identified that social influence is antecedent of PI, PU and trust in the adoption of mobile banking and perceived risk moderates these relations described.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"39 1","pages":"269 - 285"},"PeriodicalIF":6.2,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43567248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1080/10580530.2021.1954733
G. Adaba, David W. Wilson, Julian M. Sims
ABSTRACT Through a multiple-case study of three subsidiaries of multinational corporations (MNCs), we examined the impact of national culture on strategic information technology (IT) alignment. We found that the headquarters and subsidiary host national cultures affect alignment indirectly, through variables in the organizational context, including intercultural communications, IT governance, management style, differences in work values and practices, and cultural conflict and mistrust. Based on the findings, we propose a model of national culture and alignment.
{"title":"The Impact of National Culture on Strategic IT Alignment: A Multiple-case Study of Subsidiaries of Multinational Corporations","authors":"G. Adaba, David W. Wilson, Julian M. Sims","doi":"10.1080/10580530.2021.1954733","DOIUrl":"https://doi.org/10.1080/10580530.2021.1954733","url":null,"abstract":"ABSTRACT Through a multiple-case study of three subsidiaries of multinational corporations (MNCs), we examined the impact of national culture on strategic information technology (IT) alignment. We found that the headquarters and subsidiary host national cultures affect alignment indirectly, through variables in the organizational context, including intercultural communications, IT governance, management style, differences in work values and practices, and cultural conflict and mistrust. Based on the findings, we propose a model of national culture and alignment.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"39 1","pages":"288 - 304"},"PeriodicalIF":6.2,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1954733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47518853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1080/10580530.2021.1938300
Stefan Klotz, M. Westner, S. Strahringer
ABSTRACT This paper identifies critical success factors of Business-managed IT based on case study results. Four groups of critical success factors emerge: (1) general approach to Business-managed IT/Business-managed IT strategy, (2) Business-managed IT project prerequisites/Business-managed IT team, (3) Business-managed IT project execution and outcome, and (4) information technology management for Business-managed IT. The results suggest that bilateral responsibility between the business unit and the IT organization is the most favorable governance option for Business-managed IT.
{"title":"Critical Success Factors of Business-managed IT: It Takes Two to Tango","authors":"Stefan Klotz, M. Westner, S. Strahringer","doi":"10.1080/10580530.2021.1938300","DOIUrl":"https://doi.org/10.1080/10580530.2021.1938300","url":null,"abstract":"ABSTRACT This paper identifies critical success factors of Business-managed IT based on case study results. Four groups of critical success factors emerge: (1) general approach to Business-managed IT/Business-managed IT strategy, (2) Business-managed IT project prerequisites/Business-managed IT team, (3) Business-managed IT project execution and outcome, and (4) information technology management for Business-managed IT. The results suggest that bilateral responsibility between the business unit and the IT organization is the most favorable governance option for Business-managed IT.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"39 1","pages":"220 - 240"},"PeriodicalIF":6.2,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1938300","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47171120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-03DOI: 10.1080/10580530.2021.1934806
Tsipi Heart, Arik Ragowsky, Ajit Sharma
Organizations have long valued and pursued data analytics. For decades, most firms have accumulated vast amounts of data, yet they differ greatly in their capabilities to derive significant business value from these data. Recently, big data analytics and artificial intelligence have enhanced but also complicated the analysis of organizational data, requiring multi-disciplinary experts who can master both modeling and statistics, and knowledge of the business domain. Furthermore, organizations now have a plethora of external data available to analyze in addition to internal data, often requiring different data analytics methods and tools. Skillful use of data analytics is increasingly valuable but challenging, rendering it an important organizational resource that can drive sustained competitive advantage according to the Resource-Based View (RBV) of the firm. To derive value from data, organizations should successfully tackle several barriers. First, data analytics is an information technology (IT) that must be accepted and adopted by decision-makers and other organizational stakeholders. Comprehensive use clearly drives business value. Hence, managers should understand the factors promoting organizational use of data analytics. Then, managers should decide in which analytical competencies to invest, to maximize business value, and what processes should be employed for optimal use of data analytics in each organizational level. Managers must also determine which data are pertinent to each business decision, and how those data should be attained. Since data gathering, preparation and storage are costly, evaluating alternative data sources against expected results is important. In this regard, identifying significant factors affecting the phenomenon at the basis of the business question is of great importance, in order to include these data items in the dataset. Finally, since numerous models and tools are available for analytics, an organization’s experts must carefully select which of them are most powerful for the question at hand while providing insightful and explainable results that business managers can interpret. These are but a few issues faced by organizations wishing to maximize business value of data analytics. This special issue of the Information Systems Management journal includes five papers that address the above significant issues associated with gleaning business value from data analytics. The first paper, “Trustworthiness and the Adoption of Business Analytics” by Victoria Nacarelli and David Gefen, examines factors affecting use of and satisfaction from data analytics. They test an extended Technology Acceptance Model (TAM), with information quality and team trustworthiness as two antecedents affecting analysis level and satisfaction. They test the model on a sample of 262 managers. The results show that team trustworthiness has a stronger effect on analysis use, while perceived usefulness has a stronger effect on satisfaction
组织长期以来一直重视和追求数据分析。几十年来,大多数公司都积累了大量的数据,但他们从这些数据中获得重要商业价值的能力却存在很大差异。最近,大数据分析和人工智能增强了对组织数据的分析,但也使分析变得复杂,需要掌握建模和统计以及业务领域知识的多学科专家。此外,除了内部数据外,组织现在还有大量的外部数据可供分析,通常需要不同的数据分析方法和工具。熟练使用数据分析越来越有价值,但也越来越具有挑战性,根据公司的资源基础观(RBV),数据分析是一种重要的组织资源,可以推动持续的竞争优势。为了从数据中获得价值,组织应该成功地解决几个障碍。首先,数据分析是一种信息技术(IT),必须被决策者和其他组织利益相关者接受和采用。全面的使用清楚地推动了业务价值。因此,管理人员应该了解促进组织使用数据分析的因素。然后,管理人员应该决定投资哪些分析能力,以最大化业务价值,以及在每个组织级别中应该采用哪些流程来最佳地使用数据分析。管理人员还必须确定哪些数据与每个业务决策相关,以及应该如何获得这些数据。由于数据收集、准备和存储的成本很高,因此根据预期结果评估替代数据源非常重要。在这方面,在业务问题的基础上识别影响现象的重要因素非常重要,以便将这些数据项包含在数据集中。最后,由于有许多模型和工具可用于分析,因此组织的专家必须仔细选择其中最强大的模型和工具,同时提供业务经理可以解释的有洞察力和可解释的结果。这些只是希望最大化数据分析业务价值的组织所面临的几个问题。本期《信息系统管理》杂志的特刊包括五篇论文,讨论了与从数据分析中收集商业价值相关的上述重要问题。第一篇论文《可信度和商业分析的采用》由Victoria Nacarelli和David Gefen撰写,研究了影响数据分析使用和满意度的因素。他们测试了一个扩展的技术接受模型(TAM),将信息质量和团队可信度作为影响分析水平和满意度的两个前因。他们在262名管理者的样本上测试了这个模型。结果表明,团队可信度对分析使用有较强的影响,而感知有用性对满意度有较强的影响,但不影响分析使用。因此,这项研究强调了团队可信度的重要性,这是在此背景下较少讨论的一个方面。Sven Klee、Andreas Janson和Jan Marco Leimeister撰写的第二篇论文《数据分析能力如何促进商业价值——系统回顾和前进之路》补充了第一篇论文的发现,通过全面的文献回顾和访谈,展示了数据分析能力如何直接促进商业价值。团队可信度无疑是一项重要的能力,但鉴于数据分析的复杂性,这是一个具有挑战性的目标。作者提出了一个从工作实践、组织和超组织层面的数据分析中获得商业价值的模型,并强调了组织应该发展的三种一般类型的能力:领域管理、技术管理和数据管理。第三篇论文,“电信数据网络的替代方案:空间和推荐网络对客户流失检测的价值”,由Christian Colot, Philippe Baecke和Isabelle Linden撰写,涉及数据源。他们表明,空间和推荐网络可以提供与通常从通信网络中获得的结果相媲美的结果,以检测客户流失。虽然通信网络直接提供运营数据,但其他两个需要电信公司进行更大的投资。然而,这项额外的投资应该考虑到传统文本和电话通信的使用越来越少,而其他网络的使用越来越多,这表明它们在客户流失检测方面的表现是相当的,如果不是更好的话。最后两篇论文涉及医疗保健行业的数据分析,这是一个拥有大量数据的领域INFORMATION SYSTEMS MANAGEMENT 2021, VOL. 38, NO. 5。3,183 - 184 https://doi.org/10.1080/10580530.2021.1934806
{"title":"About the ISM Special Issue: The Business Value of Data Analytics","authors":"Tsipi Heart, Arik Ragowsky, Ajit Sharma","doi":"10.1080/10580530.2021.1934806","DOIUrl":"https://doi.org/10.1080/10580530.2021.1934806","url":null,"abstract":"Organizations have long valued and pursued data analytics. For decades, most firms have accumulated vast amounts of data, yet they differ greatly in their capabilities to derive significant business value from these data. Recently, big data analytics and artificial intelligence have enhanced but also complicated the analysis of organizational data, requiring multi-disciplinary experts who can master both modeling and statistics, and knowledge of the business domain. Furthermore, organizations now have a plethora of external data available to analyze in addition to internal data, often requiring different data analytics methods and tools. Skillful use of data analytics is increasingly valuable but challenging, rendering it an important organizational resource that can drive sustained competitive advantage according to the Resource-Based View (RBV) of the firm. To derive value from data, organizations should successfully tackle several barriers. First, data analytics is an information technology (IT) that must be accepted and adopted by decision-makers and other organizational stakeholders. Comprehensive use clearly drives business value. Hence, managers should understand the factors promoting organizational use of data analytics. Then, managers should decide in which analytical competencies to invest, to maximize business value, and what processes should be employed for optimal use of data analytics in each organizational level. Managers must also determine which data are pertinent to each business decision, and how those data should be attained. Since data gathering, preparation and storage are costly, evaluating alternative data sources against expected results is important. In this regard, identifying significant factors affecting the phenomenon at the basis of the business question is of great importance, in order to include these data items in the dataset. Finally, since numerous models and tools are available for analytics, an organization’s experts must carefully select which of them are most powerful for the question at hand while providing insightful and explainable results that business managers can interpret. These are but a few issues faced by organizations wishing to maximize business value of data analytics. This special issue of the Information Systems Management journal includes five papers that address the above significant issues associated with gleaning business value from data analytics. The first paper, “Trustworthiness and the Adoption of Business Analytics” by Victoria Nacarelli and David Gefen, examines factors affecting use of and satisfaction from data analytics. They test an extended Technology Acceptance Model (TAM), with information quality and team trustworthiness as two antecedents affecting analysis level and satisfaction. They test the model on a sample of 262 managers. The results show that team trustworthiness has a stronger effect on analysis use, while perceived usefulness has a stronger effect on satisfaction ","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"183 - 184"},"PeriodicalIF":6.2,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1934806","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42887477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-18DOI: 10.1080/10580530.2021.1932957
J. Sipior
60 Hospitalization in a psychiatric ward is a complex experience that requires patients to cope with new situations and interact with previously unfamiliar people, such as staff members and fellow patients. Living together 24 hours a day in a ward and participating in group therapeutic interventions facilitates an atmosphere where patients can discuss their problems and may sometimes develop close, intimate relationships. Contact with peers from within the mental health system is likely to provide opportunities for ventilation of emotions, reassurance and social approval, problem solving and reality testing (1). The issue of sexual relations between psychiatric inpatients is more problematic. Though 75% of sexual relationships in acute wards are by reciprocal consent (2), dilemmas arise regarding patients’ rights, mental conditions, suicidality, impulsivity, cultural, familial and social norms. The situation becomes more complicated when the involved patients have spouses, come from different ethnic backgrounds, or face adversity due to political strife between two ethnicities. Here we report the problematic case of an emotional involvement which developed between a young man with schizophrenia and a young woman with borderline personality disorder with different ethnic backgrounds. Mr. P is a 21 year-old Jewish Israeli, diagnosed with DSMIV schizophrenia. While in an open psychiatric ward, P met a 20 year-old Arab Israeli woman and they became deeply involved in an emotional relationship. The relationship’s process was very dramatic and unstable, partly because of the strong opposition from both families. The hospital staff was faced with the impact of this situation on P’s mental condition, including suicidal thoughts, wedding plans and resistance to discharge. Rehabilitation programs did not progress due to lack of cooperation. The problematic emotional circumstances of the relationship interfered with his chances of achieving a complete remission. He was very tense and at one point was transferred to a closed ward after he exhibited aggressive behavior following a fight with his girlfriend. When his mental condition improved he was discharged, but he refused to participate in any rehabilitation program in the community. Once again, he was admitted to the ward because of his reports of “suicidal thoughts”. It was clear that he came back in order to stay with his girlfriend in the only place where they were able to be together without fear of their families’ reactions. Ms. M is a 20 year-old Israeli Arab woman. She was admitted to the same open psychiatric ward as Mr. P because of depression and suicidal thoughts. Her behavior in the ward was characterized by emotional lability, anxiety, a pattern of dramatic and unstable relationships and short psychotic episodes. She was diagnosed with borderline personality disorder. After her first discharge, she was re-admitted several times, because of violent confrontations with her family, partly becaus
{"title":"From the Editor","authors":"J. Sipior","doi":"10.1080/10580530.2021.1932957","DOIUrl":"https://doi.org/10.1080/10580530.2021.1932957","url":null,"abstract":"60 Hospitalization in a psychiatric ward is a complex experience that requires patients to cope with new situations and interact with previously unfamiliar people, such as staff members and fellow patients. Living together 24 hours a day in a ward and participating in group therapeutic interventions facilitates an atmosphere where patients can discuss their problems and may sometimes develop close, intimate relationships. Contact with peers from within the mental health system is likely to provide opportunities for ventilation of emotions, reassurance and social approval, problem solving and reality testing (1). The issue of sexual relations between psychiatric inpatients is more problematic. Though 75% of sexual relationships in acute wards are by reciprocal consent (2), dilemmas arise regarding patients’ rights, mental conditions, suicidality, impulsivity, cultural, familial and social norms. The situation becomes more complicated when the involved patients have spouses, come from different ethnic backgrounds, or face adversity due to political strife between two ethnicities. Here we report the problematic case of an emotional involvement which developed between a young man with schizophrenia and a young woman with borderline personality disorder with different ethnic backgrounds. Mr. P is a 21 year-old Jewish Israeli, diagnosed with DSMIV schizophrenia. While in an open psychiatric ward, P met a 20 year-old Arab Israeli woman and they became deeply involved in an emotional relationship. The relationship’s process was very dramatic and unstable, partly because of the strong opposition from both families. The hospital staff was faced with the impact of this situation on P’s mental condition, including suicidal thoughts, wedding plans and resistance to discharge. Rehabilitation programs did not progress due to lack of cooperation. The problematic emotional circumstances of the relationship interfered with his chances of achieving a complete remission. He was very tense and at one point was transferred to a closed ward after he exhibited aggressive behavior following a fight with his girlfriend. When his mental condition improved he was discharged, but he refused to participate in any rehabilitation program in the community. Once again, he was admitted to the ward because of his reports of “suicidal thoughts”. It was clear that he came back in order to stay with his girlfriend in the only place where they were able to be together without fear of their families’ reactions. Ms. M is a 20 year-old Israeli Arab woman. She was admitted to the same open psychiatric ward as Mr. P because of depression and suicidal thoughts. Her behavior in the ward was characterized by emotional lability, anxiety, a pattern of dramatic and unstable relationships and short psychotic episodes. She was diagnosed with borderline personality disorder. After her first discharge, she was re-admitted several times, because of violent confrontations with her family, partly becaus","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"181 - 182"},"PeriodicalIF":6.2,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1932957","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46865926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-14DOI: 10.1080/10580530.2021.1939200
Lauri Paavola, Richard W. Cuthbertson
ABSTRACT Algorithms play an increasing role in food retailing and distribution. Through a longitudinal study supported by qualitative interviews, we explore how such technologies have turned the sourcing of food into a highly automated transaction, moving from explore and exploit to embed and embalm. We demonstrate the impact that embedding algorithms can have on organizational processes and structures and that this may shift the balance of power within the value chain without being visible to management.
{"title":"Algorithms Creating Paradoxes of Power: Explore, Exploit, Embed, Embalm","authors":"Lauri Paavola, Richard W. Cuthbertson","doi":"10.1080/10580530.2021.1939200","DOIUrl":"https://doi.org/10.1080/10580530.2021.1939200","url":null,"abstract":"ABSTRACT Algorithms play an increasing role in food retailing and distribution. Through a longitudinal study supported by qualitative interviews, we explore how such technologies have turned the sourcing of food into a highly automated transaction, moving from explore and exploit to embed and embalm. We demonstrate the impact that embedding algorithms can have on organizational processes and structures and that this may shift the balance of power within the value chain without being visible to management.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"358 - 371"},"PeriodicalIF":6.2,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1939200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41320862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-25DOI: 10.1080/10580530.2021.1928341
O. Ben‐Assuli
ABSTRACT Hospital readmission for chronic illness is a ubiquitous phenomenon that is a major contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify studies dealing with predicting readmissions for CHF and COPD patients that implemented machine learning techniques. The PRISMA output yielded 21 articles that met the inclusion criteria. It is recommended to include previous visit data, and track the same patients over multiple visits when predicting these readmissions.
{"title":"Review of Prediction Analytics Studies on Readmission for the Chronic Conditions of CHF and COPD: Utilizing the PRISMA Method","authors":"O. Ben‐Assuli","doi":"10.1080/10580530.2021.1928341","DOIUrl":"https://doi.org/10.1080/10580530.2021.1928341","url":null,"abstract":"ABSTRACT Hospital readmission for chronic illness is a ubiquitous phenomenon that is a major contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify studies dealing with predicting readmissions for CHF and COPD patients that implemented machine learning techniques. The PRISMA output yielded 21 articles that met the inclusion criteria. It is recommended to include previous visit data, and track the same patients over multiple visits when predicting these readmissions.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"250 - 266"},"PeriodicalIF":6.2,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1928341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47757432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}