Pub Date : 2022-09-30DOI: 10.1108/imds-03-2022-0133
Vipulesh Shardeo, Jitender Madaan, F. Chan
PurposeThe COVID-19 has affected the whole world and forced countries to impose lockdowns and restrict travel and transportation. This was followed by different countries formulating different policies, and when transportation resumed, there were some restrictions. Such strategies forced transporters to rethink mode choice decision making for freight transportation. The purpose of this study is to identify and rank the factors affecting freight transport mode choice decisions considering the spread of COVID-19 outbreak.Design/methodology/approachInitially, the factors affecting the mode choice decisions for freight transportation amid the COVID-19 outbreak have been extracted from a literature survey and group discussion with experts. Further, this paper employs the integration of grey-Decision making trial and evaluation laboratory (DEMATEL) with fuzzy Best Worst Method to analyze the identified factors and their sub-factors. The model's robustness and feasibility were then tested using sensitivity analysis.FindingsThe findings of the study showed that Disaster Characteristics and Operations Factors are the most and least influential factors, respectively. Panic, Travel restrictions, Border restrictions, Severity, and Mortality rate are the top five ranked sub-factors. Panic, Compliance to Social distancing, and Passenger and Freight integration are among the new sub-factors proposed. In the current circumstances, these sub-factors are crucial and relevant. In addition, various recommendations are offered to improve transportation services while guaranteeing safety, such as promoting passenger and freight integration, lowering the panic level, developing dynamic rules based on region characteristics, and so on. The study's findings will help practitioners and politicians reformulate the existing transportation infrastructure in the event of disease outbreaks.Research limitations/implicationsThe demographic context of experts, is one of the study's limitations. Only experts from the Indian subcontinent were considered in this study. In addition, future study work can be based on a comparison of the outcomes from various Multi-Criteria Decision Making techniques.Originality/valueThe present research work differentiates itself through the analysis of mode choice factors considering the ongoing pandemic across the globe. The results emanated from the study can guide the concerned stakeholders to make better decisions.
{"title":"An empirical analysis of freight mode choice factors amid the COVID-19 outbreak","authors":"Vipulesh Shardeo, Jitender Madaan, F. Chan","doi":"10.1108/imds-03-2022-0133","DOIUrl":"https://doi.org/10.1108/imds-03-2022-0133","url":null,"abstract":"PurposeThe COVID-19 has affected the whole world and forced countries to impose lockdowns and restrict travel and transportation. This was followed by different countries formulating different policies, and when transportation resumed, there were some restrictions. Such strategies forced transporters to rethink mode choice decision making for freight transportation. The purpose of this study is to identify and rank the factors affecting freight transport mode choice decisions considering the spread of COVID-19 outbreak.Design/methodology/approachInitially, the factors affecting the mode choice decisions for freight transportation amid the COVID-19 outbreak have been extracted from a literature survey and group discussion with experts. Further, this paper employs the integration of grey-Decision making trial and evaluation laboratory (DEMATEL) with fuzzy Best Worst Method to analyze the identified factors and their sub-factors. The model's robustness and feasibility were then tested using sensitivity analysis.FindingsThe findings of the study showed that Disaster Characteristics and Operations Factors are the most and least influential factors, respectively. Panic, Travel restrictions, Border restrictions, Severity, and Mortality rate are the top five ranked sub-factors. Panic, Compliance to Social distancing, and Passenger and Freight integration are among the new sub-factors proposed. In the current circumstances, these sub-factors are crucial and relevant. In addition, various recommendations are offered to improve transportation services while guaranteeing safety, such as promoting passenger and freight integration, lowering the panic level, developing dynamic rules based on region characteristics, and so on. The study's findings will help practitioners and politicians reformulate the existing transportation infrastructure in the event of disease outbreaks.Research limitations/implicationsThe demographic context of experts, is one of the study's limitations. Only experts from the Indian subcontinent were considered in this study. In addition, future study work can be based on a comparison of the outcomes from various Multi-Criteria Decision Making techniques.Originality/valueThe present research work differentiates itself through the analysis of mode choice factors considering the ongoing pandemic across the globe. The results emanated from the study can guide the concerned stakeholders to make better decisions.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"7 1","pages":"2783-2805"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80079255","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}
Pub Date : 2022-09-23DOI: 10.1108/imds-01-2022-0017
Xiayu Chen, Jiawen Wang, Shaobo Wei
PurposeThe success of social commerce depends on the actual transactions of consumers, which will be prevented in the presence of high uncertainty. However, attention paid to the uncertainty reduction strategies in social commerce is limited, especially from a unified theoretical framework. Based on uncertainty reduction theory (URT), this paper aims to investigate how three uncertainty reduction strategies (i.e. situational normality, perceived effectiveness of social commerce institutional mechanisms (PESIM) and swift guanxi) affect perceived uncertainty in social commerce, which in turn affects buyers' purchase intention and purchase behavior. The moderating effects of PESIM on the relationships between the other two strategies and perceived uncertainty were also tested.Design/methodology/approachIn this study longitudinal data from 211 buyers who have usage experience of Xiaohongshu were collected to test the proposed model and hypotheses.FindingsResults show that the three uncertainty reduction strategies significantly reduce perceived uncertainty. PESIM negatively moderates the relationships between situational normality and perceived uncertainty, swift guanxi and perceived uncertainty. Perceived uncertainty is negatively related to purchase intention. Purchase intention positively affects purchase behavior.Originality/valueThis study focuses on the role of uncertainty reduction mechanisms in promoting purchase behavior through uncertainty reduction and sheds light on the relationships among situational normality, PESIM, swift guanxi and perceived uncertainty based on URT, which have not been extensively studied from a theoretical perspective in social commerce contexts. Besides, this study investigates the moderating role of PESIM, which improves the understanding of the role of swift guanxi and situational normality in reducing perceived uncertainty under the boundary condition of PESIM.
社交商务的成功取决于消费者的实际交易，在存在高度不确定性的情况下会阻碍消费者的实际交易。然而，对社交商务中不确定性降低策略的关注有限，特别是缺乏统一的理论框架。基于不确定性还原理论(URT)，研究情境常态化(situational normality)、社交商务制度机制感知有效性(perceived effectiveness of social commerce institutional mechanism, PESIM)和快速关系(rapid guanxi)三种不确定性还原策略对社交商务感知不确定性的影响，进而影响购买者的购买意愿和购买行为。本研究也检验了PESIM对其他两种策略与感知不确定性之间关系的调节作用。本研究收集了211名有小红书使用经验的购买者的纵向数据，以检验所提出的模型和假设。结果表明，三种不确定性降低策略显著降低了感知不确定性。PESIM负向调节情境常态与感知不确定性、快速关系与感知不确定性的关系。感知不确定性与购买意愿呈负相关。购买意愿正向影响购买行为。本研究关注不确定性降低机制在通过不确定性降低促进购买行为中的作用，揭示了情境常态性、PESIM、快速关系和基于URT的感知不确定性之间的关系，这些关系在社交商务背景下尚未得到广泛的理论研究。此外，本研究还考察了PESIM的调节作用，提高了对PESIM边界条件下快速关系和情境常态在降低感知不确定性中的作用的理解。
{"title":"The role of situational normality, swift guanxi, and perceived effectiveness of social commerce institutional mechanisms: an uncertainty reduction perspective","authors":"Xiayu Chen, Jiawen Wang, Shaobo Wei","doi":"10.1108/imds-01-2022-0017","DOIUrl":"https://doi.org/10.1108/imds-01-2022-0017","url":null,"abstract":"PurposeThe success of social commerce depends on the actual transactions of consumers, which will be prevented in the presence of high uncertainty. However, attention paid to the uncertainty reduction strategies in social commerce is limited, especially from a unified theoretical framework. Based on uncertainty reduction theory (URT), this paper aims to investigate how three uncertainty reduction strategies (i.e. situational normality, perceived effectiveness of social commerce institutional mechanisms (PESIM) and swift guanxi) affect perceived uncertainty in social commerce, which in turn affects buyers' purchase intention and purchase behavior. The moderating effects of PESIM on the relationships between the other two strategies and perceived uncertainty were also tested.Design/methodology/approachIn this study longitudinal data from 211 buyers who have usage experience of Xiaohongshu were collected to test the proposed model and hypotheses.FindingsResults show that the three uncertainty reduction strategies significantly reduce perceived uncertainty. PESIM negatively moderates the relationships between situational normality and perceived uncertainty, swift guanxi and perceived uncertainty. Perceived uncertainty is negatively related to purchase intention. Purchase intention positively affects purchase behavior.Originality/valueThis study focuses on the role of uncertainty reduction mechanisms in promoting purchase behavior through uncertainty reduction and sheds light on the relationships among situational normality, PESIM, swift guanxi and perceived uncertainty based on URT, which have not been extensively studied from a theoretical perspective in social commerce contexts. Besides, this study investigates the moderating role of PESIM, which improves the understanding of the role of swift guanxi and situational normality in reducing perceived uncertainty under the boundary condition of PESIM.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"172 1","pages":"2609-2632"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77300547","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}
Pub Date : 2022-09-20DOI: 10.1108/imds-05-2022-0268
Hongyan Dai, Yan Wen, Weihua Zhou, Tingting Tong, Xun Xu
PurposeThe overuse and scarcity of resources emphasize the importance of the circular economy. The technology facilitated by Industry 4.0 stimulates the implementation of the circular economy that aims to reduce resource use and enhance operational efficiency. This study focuses on enhancing delivery efficiency in an online-to-offline (O2O) context from an Industry 4.0 technology-facilitated personal configuration perspective, that is, comparing in-house and crowdsourced delivery efficiency in China's O2O on-demand food delivery context.Design/methodology/approachThe authors collect 128,152 orders from 38 restaurants of an online restaurant chain in China. The authors adopt multiple regression analysis to examine the delivery efficiency gap between in-house and crowdsourced deliverymen and the determinants of this efficiency gap.FindingsThe findings of this study reveal that crowdsourced deliverymen exhibit higher delivery efficiency, in terms of a shorter delivery time, than in-house deliverymen. In addition, the authors find that platforms providing monetary incentives or implementing late delivery penalties enlarge this efficiency gap. Furthermore, the authors show that external factors, such as working on weekends and bad weather conditions, contribute to the narrowing of this performance efficiency.Practical implicationsThe study's findings suggest that platforms should use advanced technologies facilitated by Industry 4.0 to optimize their personnel configuration to enhance their delivery efficiency and reduce carbon emissions. The effective approaches include using financial incentives and improving working schedules.Originality/valueThe authors' findings contribute to the online fulfillment literature by focusing on delivery efficiency in the O2O context from the Industry 4.0 technology-facilitated personnel configuration perspective. The authors examine how internal and external factors moderate the performance efficiency between these two types of deliverymen.
{"title":"Enhancing online-to-offline delivery efficiency facilitated by Industry 4.0: a personnel configuration perspective","authors":"Hongyan Dai, Yan Wen, Weihua Zhou, Tingting Tong, Xun Xu","doi":"10.1108/imds-05-2022-0268","DOIUrl":"https://doi.org/10.1108/imds-05-2022-0268","url":null,"abstract":"PurposeThe overuse and scarcity of resources emphasize the importance of the circular economy. The technology facilitated by Industry 4.0 stimulates the implementation of the circular economy that aims to reduce resource use and enhance operational efficiency. This study focuses on enhancing delivery efficiency in an online-to-offline (O2O) context from an Industry 4.0 technology-facilitated personal configuration perspective, that is, comparing in-house and crowdsourced delivery efficiency in China's O2O on-demand food delivery context.Design/methodology/approachThe authors collect 128,152 orders from 38 restaurants of an online restaurant chain in China. The authors adopt multiple regression analysis to examine the delivery efficiency gap between in-house and crowdsourced deliverymen and the determinants of this efficiency gap.FindingsThe findings of this study reveal that crowdsourced deliverymen exhibit higher delivery efficiency, in terms of a shorter delivery time, than in-house deliverymen. In addition, the authors find that platforms providing monetary incentives or implementing late delivery penalties enlarge this efficiency gap. Furthermore, the authors show that external factors, such as working on weekends and bad weather conditions, contribute to the narrowing of this performance efficiency.Practical implicationsThe study's findings suggest that platforms should use advanced technologies facilitated by Industry 4.0 to optimize their personnel configuration to enhance their delivery efficiency and reduce carbon emissions. The effective approaches include using financial incentives and improving working schedules.Originality/valueThe authors' findings contribute to the online fulfillment literature by focusing on delivery efficiency in the O2O context from the Industry 4.0 technology-facilitated personnel configuration perspective. The authors examine how internal and external factors moderate the performance efficiency between these two types of deliverymen.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"21 1","pages":"1198-1219"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89942340","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}
Pub Date : 2022-09-20DOI: 10.1108/imds-05-2022-0302
Junheng Zhan, Ziyan Zhang, Shunhu Zhang, Jiabao Zhao, Fuhong Wang
PurposeDespite servitization being widely regarded as an essential catalyst to improve manufacturing firms' survival and competitiveness, how to attain servitization remains debatable. The primary objective of this research is to explore whether or not, how, and when the dynamic capabilities affect servitization in the digital economy background. This research investigates the relationships between servitization and dynamic capabilities by incorporating firm ownership, firm lifecycle stage, digital economy level and environmental uncertainty as contingency factors in the research framework.Design/methodology/approachThis research develops and verifies a conceptual framework for manufacturing servitization by employing the fuzzy-set qualitative comparative analysis (fsQCA) in analyzing the secondary longitudinal data from 148 China-listed manufacturing firms involved in servitization from 2015 to 2020.FindingsThe analytical results of fsQCA identify several configurational solutions for the success of manufacturing servitization. Each factor can be an enabler for servitization success despite none of the factors discovered as an absolute condition. Manufacturing servitization success within the digital economy depends on the interactions between dynamic capabilities and contingency factors such as digital economy level, environmental uncertainty, firm ownership, and lifecycle stage.Research limitations/implicationsAll of the construct's measurements in this research adopt secondary data, and further investigation calls for primary data (e.g. survey) for higher validity.Originality/valueThis research extends the current view of servitization by proposing an integrative conceptual framework, allowing manufacturing servitization to be examined more pertinently and comprehensively. Second, the research is an initial attempt that adopts fsQCA in servitization studies. The study sheds light on the mechanisms of attaining servitization by revealing the importance of dynamic capabilities and their interactions with the contingency factors. Third, the research extends the application scopes of dynamic capability theory, firm lifecycle theory, contingency theory, and institutional theory. Fourth, the research findings enrich the understanding of servitization in the digital economy and give business practitioners insights on leveraging dynamic capabilities in different conditions to attain successful servitization under the current circumstances.
{"title":"Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective","authors":"Junheng Zhan, Ziyan Zhang, Shunhu Zhang, Jiabao Zhao, Fuhong Wang","doi":"10.1108/imds-05-2022-0302","DOIUrl":"https://doi.org/10.1108/imds-05-2022-0302","url":null,"abstract":"PurposeDespite servitization being widely regarded as an essential catalyst to improve manufacturing firms' survival and competitiveness, how to attain servitization remains debatable. The primary objective of this research is to explore whether or not, how, and when the dynamic capabilities affect servitization in the digital economy background. This research investigates the relationships between servitization and dynamic capabilities by incorporating firm ownership, firm lifecycle stage, digital economy level and environmental uncertainty as contingency factors in the research framework.Design/methodology/approachThis research develops and verifies a conceptual framework for manufacturing servitization by employing the fuzzy-set qualitative comparative analysis (fsQCA) in analyzing the secondary longitudinal data from 148 China-listed manufacturing firms involved in servitization from 2015 to 2020.FindingsThe analytical results of fsQCA identify several configurational solutions for the success of manufacturing servitization. Each factor can be an enabler for servitization success despite none of the factors discovered as an absolute condition. Manufacturing servitization success within the digital economy depends on the interactions between dynamic capabilities and contingency factors such as digital economy level, environmental uncertainty, firm ownership, and lifecycle stage.Research limitations/implicationsAll of the construct's measurements in this research adopt secondary data, and further investigation calls for primary data (e.g. survey) for higher validity.Originality/valueThis research extends the current view of servitization by proposing an integrative conceptual framework, allowing manufacturing servitization to be examined more pertinently and comprehensively. Second, the research is an initial attempt that adopts fsQCA in servitization studies. The study sheds light on the mechanisms of attaining servitization by revealing the importance of dynamic capabilities and their interactions with the contingency factors. Third, the research extends the application scopes of dynamic capability theory, firm lifecycle theory, contingency theory, and institutional theory. Fourth, the research findings enrich the understanding of servitization in the digital economy and give business practitioners insights on leveraging dynamic capabilities in different conditions to attain successful servitization under the current circumstances.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"15 1","pages":"79-111"},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87971523","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}
Pub Date : 2022-09-19DOI: 10.1108/imds-01-2022-0016
Yongtai Chen, Rui Li, En-yu Zeng, Pengfei Li
PurposeThis study aims to analyze the relevance of the city spatial structure for smart city innovation from the perspective of agglomeration externalities, and discusses whether there is heterogeneity in innovation across different geographical areas and population scales of cities.Design/methodology/approachThe authors construct the centralization and concentration indexes to conceptualize the city spatial structure of 286 cities (prefecture-level) in China based on the LandScan Global Population Dataset from 2001 to 2016. A fixed-effects panel data model is employed to analyze the relationship between the spatial structure and the innovation ability of smart cities; the results were validated through robustness tests and heterogeneity analyses.FindingsThe study found that the more concentrated and more evenly the distribution of urban population, namely the more city spatial structure tends to be weak-monocentricity, the higher the level of innovation in smart cities. The relevance of the weak-monocentricity structure and smart city innovation varies significantly depending on their geographical location and the size of the city. This result is more applicable to cities in the eastern and central regions, as well as to cities with smaller populations.Originality/valueThe adjustment and optimization of the city spatial structure is important for enhancing smart city construction. Unlike previous studies, which mostly use a single dimension of “the proportion of population in sub-centres to the population of all central areas” to measure city spatial structure, the authors employed the spatial centralization and spatial concentration. It is hoped that this study can guide smart city construction from the perspective of the development model of city spatial structure.
{"title":"City spatial structure and smart city innovation: the case of China","authors":"Yongtai Chen, Rui Li, En-yu Zeng, Pengfei Li","doi":"10.1108/imds-01-2022-0016","DOIUrl":"https://doi.org/10.1108/imds-01-2022-0016","url":null,"abstract":"PurposeThis study aims to analyze the relevance of the city spatial structure for smart city innovation from the perspective of agglomeration externalities, and discusses whether there is heterogeneity in innovation across different geographical areas and population scales of cities.Design/methodology/approachThe authors construct the centralization and concentration indexes to conceptualize the city spatial structure of 286 cities (prefecture-level) in China based on the LandScan Global Population Dataset from 2001 to 2016. A fixed-effects panel data model is employed to analyze the relationship between the spatial structure and the innovation ability of smart cities; the results were validated through robustness tests and heterogeneity analyses.FindingsThe study found that the more concentrated and more evenly the distribution of urban population, namely the more city spatial structure tends to be weak-monocentricity, the higher the level of innovation in smart cities. The relevance of the weak-monocentricity structure and smart city innovation varies significantly depending on their geographical location and the size of the city. This result is more applicable to cities in the eastern and central regions, as well as to cities with smaller populations.Originality/valueThe adjustment and optimization of the city spatial structure is important for enhancing smart city construction. Unlike previous studies, which mostly use a single dimension of “the proportion of population in sub-centres to the population of all central areas” to measure city spatial structure, the authors employed the spatial centralization and spatial concentration. It is hoped that this study can guide smart city construction from the perspective of the development model of city spatial structure.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"50 1","pages":"2217-2236"},"PeriodicalIF":0.0,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86450443","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}
PurposeAlthough the circular economy is widely regarded as an essential strategy for firms, the present understanding of the drivers and outcomes of circular economy implementation is underdeveloped. In this paper, the authors draw on the natural resource-based view and information processing theory to explore how an environmental orientation and digital supply chain platforms promote circular economy implementation, and increase the impact of circular economy implementation on financial performance.Design/methodology/approachThe authors surveyed 249 Chinese firms and used hierarchical regression analysis to test hypotheses.FindingsThe empirical results reveal that three primary modes of circular economy implementation—reinvent and rethink (INV), restore, reduce and avoid (RRA), and recirculate (REC)—are all driven by environmental orientation and digital supply chain platforms. More interestingly, digital supply chain platforms have an inverted U-shaped moderating effect on the relationships between environmental orientation and INV and between environmental orientation and RRA. Most importantly, INV and RRA are positively related to financial performance, whereas REC does not have a significant relationship with financial performance.Originality/valueThe authors contribute to the literature on the circular economy by revealing new drivers and outcomes of different modes of its implementation. Additionally, the findings have implications for how firms should frame their circular economy initiatives in the context of the digital revolution.
{"title":"Drivers and outcomes of circular economy implementation: evidence from China","authors":"Yina Li, Yuzhou Hu, Lixu Li, Jiayan Zheng, Ying Yin, Shaoling Fu","doi":"10.1108/imds-05-2022-0267","DOIUrl":"https://doi.org/10.1108/imds-05-2022-0267","url":null,"abstract":"PurposeAlthough the circular economy is widely regarded as an essential strategy for firms, the present understanding of the drivers and outcomes of circular economy implementation is underdeveloped. In this paper, the authors draw on the natural resource-based view and information processing theory to explore how an environmental orientation and digital supply chain platforms promote circular economy implementation, and increase the impact of circular economy implementation on financial performance.Design/methodology/approachThe authors surveyed 249 Chinese firms and used hierarchical regression analysis to test hypotheses.FindingsThe empirical results reveal that three primary modes of circular economy implementation—reinvent and rethink (INV), restore, reduce and avoid (RRA), and recirculate (REC)—are all driven by environmental orientation and digital supply chain platforms. More interestingly, digital supply chain platforms have an inverted U-shaped moderating effect on the relationships between environmental orientation and INV and between environmental orientation and RRA. Most importantly, INV and RRA are positively related to financial performance, whereas REC does not have a significant relationship with financial performance.Originality/valueThe authors contribute to the literature on the circular economy by revealing new drivers and outcomes of different modes of its implementation. Additionally, the findings have implications for how firms should frame their circular economy initiatives in the context of the digital revolution.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"41 1","pages":"1178-1197"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84619315","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}
Pub Date : 2022-09-12DOI: 10.1108/imds-10-2021-0640
Sergio Díaz-González, Jesus M. Torres, Eduardo Parra-López, Rosa M. Aguilar
PurposeSmart tourist destinations (STDs) make use of new technologies to facilitate and improve the experience of tourists. So why not use these technologies to efficiently manage the destination? The aim of this work is to define and implement a methodology that provides value to STDs by defining their most important characteristics to monitor and quantify them automatically in real time.Design/methodology/approachThe authors developed a conceptual framework to the smart tourism approach presented in previous studies, the latest technologies and the application of the smart tourism system (STS). Based on the focus group method with stakeholders from the tourism industry of the Spanish tourist municipality of Puerto de la Cruz, they defined the main KPIs for a municipal STD. Likewise, the authors specified the necessary technologies to obtain, manage and represent the data, and the method for quantifying the quality of the STD by using the AHP method. Lastly, they implemented the framework for the aforementioned municipality.FindingsThe implementation in a real context of the STS proposed for Puerto de la Cruz demonstrates its validity and the possibility of adapting it to any other municipal destination. In addition, the authors corroborate how this STS improves on other versions.Originality/valueThis paper provides a theoretical methodology to improve STD management and implements it. Other studies have focused only on the theoretical aspect. Moreover, automated management tools are emerging for STDs, but they lack the quality provided by the scientific approach employed herein.
目的智能旅游目的地(STDs)利用新技术促进和改善游客的体验。那么，为什么不使用这些技术来有效地管理目的地呢?这项工作的目的是定义和实现一种方法，通过定义性病最重要的特征来实时自动监测和量化它们，从而为性病提供价值。设计/方法/途径作者对以往研究中提出的智慧旅游方法、最新技术和智慧旅游系统(STS)的应用开发了一个概念框架。基于与来自西班牙Puerto de la Cruz旅游城市旅游业利益相关者的焦点小组方法，他们定义了市政性病的主要kpi，同样，作者详细说明了获取、管理和表示数据所需的技术，以及使用AHP方法量化性病质量的方法。最后，他们为上述市政当局实施了框架。在实际情况下，为德拉克鲁兹港提出的STS的实施证明了其有效性和将其适用于任何其他城市目的地的可能性。此外，作者证实了该STS在其他版本上的改进。本文为性病管理的改进和实施提供了一种理论方法。其他的研究只集中在理论方面。此外，针对性传播疾病的自动化管理工具正在出现，但它们缺乏本文所采用的科学方法所提供的质量。
{"title":"Strategic technological determinant in smart destinations: obtaining an automatic classification of the quality of the destination","authors":"Sergio Díaz-González, Jesus M. Torres, Eduardo Parra-López, Rosa M. Aguilar","doi":"10.1108/imds-10-2021-0640","DOIUrl":"https://doi.org/10.1108/imds-10-2021-0640","url":null,"abstract":"PurposeSmart tourist destinations (STDs) make use of new technologies to facilitate and improve the experience of tourists. So why not use these technologies to efficiently manage the destination? The aim of this work is to define and implement a methodology that provides value to STDs by defining their most important characteristics to monitor and quantify them automatically in real time.Design/methodology/approachThe authors developed a conceptual framework to the smart tourism approach presented in previous studies, the latest technologies and the application of the smart tourism system (STS). Based on the focus group method with stakeholders from the tourism industry of the Spanish tourist municipality of Puerto de la Cruz, they defined the main KPIs for a municipal STD. Likewise, the authors specified the necessary technologies to obtain, manage and represent the data, and the method for quantifying the quality of the STD by using the AHP method. Lastly, they implemented the framework for the aforementioned municipality.FindingsThe implementation in a real context of the STS proposed for Puerto de la Cruz demonstrates its validity and the possibility of adapting it to any other municipal destination. In addition, the authors corroborate how this STS improves on other versions.Originality/valueThis paper provides a theoretical methodology to improve STD management and implements it. Other studies have focused only on the theoretical aspect. Moreover, automated management tools are emerging for STDs, but they lack the quality provided by the scientific approach employed herein.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"24 1","pages":"2299-2330"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81768143","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}
Pub Date : 2022-09-08DOI: 10.1108/imds-04-2022-0234
Yuan Chen, Xiaodong Li, Qi Li, Wenjie Li
PurposeLightweight apps such as WeChat mini programs (WMPs) are an emerging mobile channel (m-channel) touchpoint that have gained remarkable popularity among consumers. Despite the focus of migration research on traditional m-channel touchpoints (e.g. native apps and mobile websites), but few researchers have examined why consumers switch from native to lightweight apps. Drawing on the push-pull-mooring framework, this study aims to identify the key factors influencing consumers' switching related to lightweight apps.Design/methodology/approachThe data were collected using a questionnaire survey of 416 WMP consumers and the proposed model was analyzed through structural equation modeling.FindingsThe results show that the push effect, specifically, high privacy concern, nudges consumers away from native apps, whereas the pull effects, including relative ease of use, convenience of access and exit and socially-oriented interaction, entice consumers to lightweight apps. Further, consumer switching intention is influenced by habit and perceived technology control, both of which reflect the mooring effects. Switching intention also stands as an important precedent of actual behavior.Originality/valueThis study is among the first theoretical explorations of consumer switching across m-channel touchpoints in the context of mobile commerce. For information system practice, these findings provide new insights for both incumbent providers and newcomers on how to retain existing shoppers as well as attract potential shoppers effectively.
{"title":"Exploring customers' switching from native to lightweight apps: a push-pull-mooring framework perspective","authors":"Yuan Chen, Xiaodong Li, Qi Li, Wenjie Li","doi":"10.1108/imds-04-2022-0234","DOIUrl":"https://doi.org/10.1108/imds-04-2022-0234","url":null,"abstract":"PurposeLightweight apps such as WeChat mini programs (WMPs) are an emerging mobile channel (m-channel) touchpoint that have gained remarkable popularity among consumers. Despite the focus of migration research on traditional m-channel touchpoints (e.g. native apps and mobile websites), but few researchers have examined why consumers switch from native to lightweight apps. Drawing on the push-pull-mooring framework, this study aims to identify the key factors influencing consumers' switching related to lightweight apps.Design/methodology/approachThe data were collected using a questionnaire survey of 416 WMP consumers and the proposed model was analyzed through structural equation modeling.FindingsThe results show that the push effect, specifically, high privacy concern, nudges consumers away from native apps, whereas the pull effects, including relative ease of use, convenience of access and exit and socially-oriented interaction, entice consumers to lightweight apps. Further, consumer switching intention is influenced by habit and perceived technology control, both of which reflect the mooring effects. Switching intention also stands as an important precedent of actual behavior.Originality/valueThis study is among the first theoretical explorations of consumer switching across m-channel touchpoints in the context of mobile commerce. For information system practice, these findings provide new insights for both incumbent providers and newcomers on how to retain existing shoppers as well as attract potential shoppers effectively.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"19 1","pages":"2633-2656"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75804993","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}
Pub Date : 2022-09-08DOI: 10.1108/imds-04-2022-0266
L. J. Zheng, Y. Wang, Hsuan-Yu Lin, W. Liu
PurposeThis paper explores how Industry 4.0 facilitates small and medium-sized enterprises (SMEs) in emerging markets to gain and maintain organizational legitimacy from the government and market and capture value from circular economy (CE) adoption in their businesses.Design/methodology/approachThe authors conduct an in-depth, multistakeholder case study in an SME in China’s hazardous waste recycling and re-utilization industry and apply a qualitative analysis.FindingsThe findings show that Industry 4.0 could facilitate SMEs to gain organizational legitimacy through two mechanisms, namely conforming and transcending. Conforming results in baseline-level outcomes to obtain legitimacy while transcending leads to ecosystem value-cocreation, which goes beyond government expectations and reinforces SMEs' legitimacy.Originality/valueThe authors validated the enabling role of Industry 4.0 in CE adoption in SMEs and have generated legitimation processes and strategies that facilitate SMEs to capture value from CE adoption.
{"title":"Understanding circular economy adoption by SMEs: a case study on organizational legitimacy and Industry 4.0","authors":"L. J. Zheng, Y. Wang, Hsuan-Yu Lin, W. Liu","doi":"10.1108/imds-04-2022-0266","DOIUrl":"https://doi.org/10.1108/imds-04-2022-0266","url":null,"abstract":"PurposeThis paper explores how Industry 4.0 facilitates small and medium-sized enterprises (SMEs) in emerging markets to gain and maintain organizational legitimacy from the government and market and capture value from circular economy (CE) adoption in their businesses.Design/methodology/approachThe authors conduct an in-depth, multistakeholder case study in an SME in China’s hazardous waste recycling and re-utilization industry and apply a qualitative analysis.FindingsThe findings show that Industry 4.0 could facilitate SMEs to gain organizational legitimacy through two mechanisms, namely conforming and transcending. Conforming results in baseline-level outcomes to obtain legitimacy while transcending leads to ecosystem value-cocreation, which goes beyond government expectations and reinforces SMEs' legitimacy.Originality/valueThe authors validated the enabling role of Industry 4.0 in CE adoption in SMEs and have generated legitimation processes and strategies that facilitate SMEs to capture value from CE adoption.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"19 1","pages":"1157-1177"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74145935","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}
Pub Date : 2022-08-31DOI: 10.1108/imds-01-2022-0056
G. Ho, S. Choy, P.H. Tong, V. Tang
PurposeDemand forecast methodologies have been studied extensively to improve operations in e-commerce. However, every forecast inevitably contains errors, and this may result in a disproportionate impact on operations, particularly in the dynamic nature of fulfilling orders in e-commerce. This paper aims to quantify the impact that forecast error in order demand has on order picking, the most costly and complex operations in e-order fulfilment, in order to enhance the application of the demand forecast in an e-fulfilment centre.Design/methodology/approachThe paper presents a Gaussian regression based mathematical method that translates the error of forecast accuracy in order demand to the performance fluctuations in e-order fulfilment. In addition, the impact under distinct order picking methodologies, namely order batching and wave picking. As described.FindingsA structured model is developed to evaluate the impact of demand forecast error in order picking performance. The findings in terms of global results and local distribution have important implications for organizational decision-making in both long-term strategic planning and short-term daily workforce planning.Originality/valueEarlier research examined demand forecasting methodologies in warehouse operations. And order picking and examining the impact of error in demand forecasting on order picking operations has been identified as a research gap. This paper contributes to closing this research gap by presenting a mathematical model that quantifies impact of demand forecast error into fluctuations in order picking performance.
{"title":"A forecasting analytics model for assessing forecast error in e-fulfilment performance","authors":"G. Ho, S. Choy, P.H. Tong, V. Tang","doi":"10.1108/imds-01-2022-0056","DOIUrl":"https://doi.org/10.1108/imds-01-2022-0056","url":null,"abstract":"PurposeDemand forecast methodologies have been studied extensively to improve operations in e-commerce. However, every forecast inevitably contains errors, and this may result in a disproportionate impact on operations, particularly in the dynamic nature of fulfilling orders in e-commerce. This paper aims to quantify the impact that forecast error in order demand has on order picking, the most costly and complex operations in e-order fulfilment, in order to enhance the application of the demand forecast in an e-fulfilment centre.Design/methodology/approachThe paper presents a Gaussian regression based mathematical method that translates the error of forecast accuracy in order demand to the performance fluctuations in e-order fulfilment. In addition, the impact under distinct order picking methodologies, namely order batching and wave picking. As described.FindingsA structured model is developed to evaluate the impact of demand forecast error in order picking performance. The findings in terms of global results and local distribution have important implications for organizational decision-making in both long-term strategic planning and short-term daily workforce planning.Originality/valueEarlier research examined demand forecasting methodologies in warehouse operations. And order picking and examining the impact of error in demand forecasting on order picking operations has been identified as a research gap. This paper contributes to closing this research gap by presenting a mathematical model that quantifies impact of demand forecast error into fluctuations in order picking performance.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"14 1","pages":"2583-2608"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85112253","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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