PurposeThe development of low-carbon production is impeded by the investment costs of green technology research and development (R&D) and carbon emission reduction while facing the uncertain risk of emission reduction investment. With the government's carbon emission constraints, green manufacturers implement the advance selling strategy to increase both profit and reduction level. However, few studies consider the consumer's green preference and emission constraints in advance selling market and spot market independently. The authors' paper investigates the optimal strategies of advance selling pricing and reduction effort for green manufacturers to maximize profits.Design/methodology/approachThe authors' paper designs a stochastic model and investigates the manufacturer's optimal strategies of advance selling price and emission reduction efforts by categorizing different purchasing periods of low-carbon consumers. With the challenges of uncertain demand and government's emission constraints, the authors' develop the non-linear optimization model to investigate the manufacturer's profit-oriented decisions.FindingsThe results show the government's carbon constraints cannot influence the manufacturer's profit, but the consumer's low-carbon preference in the advance selling period can. Interestingly, the manufacturer will make fewer reduction efforts even when the consumers have stronger environmental awareness. In addition, the increasing consumer price sensitivity will exacerbate the profit loss from mandatory emissions reduction. Overall, for achieving a win–win situation between emission reduction and profit growth, green manufacturers should not only consider the sales strategies, market demand, and government constraints in a low-carbon market, but also pay attention to the uncertainty of green technology innovation.Originality/valueWith the consideration of the government's carbon emission constraints, uncertain demand, and low-carbon consumer's preferences, the authors' study innovatively incorporates the joint impacts of advance selling strategy and emission reduction effort strategy and then differentiates between two cases that pertain to the diverse carbon emission regulations.
{"title":"Advance selling of uncertain demand in low-carbon supply chain","authors":"Haicheng Jia, Jing Li, Ling Liang, Weicai Peng, Jiqing Xie, Jiaping Xie","doi":"10.1108/imds-04-2022-0239","DOIUrl":"https://doi.org/10.1108/imds-04-2022-0239","url":null,"abstract":"PurposeThe development of low-carbon production is impeded by the investment costs of green technology research and development (R&D) and carbon emission reduction while facing the uncertain risk of emission reduction investment. With the government's carbon emission constraints, green manufacturers implement the advance selling strategy to increase both profit and reduction level. However, few studies consider the consumer's green preference and emission constraints in advance selling market and spot market independently. The authors' paper investigates the optimal strategies of advance selling pricing and reduction effort for green manufacturers to maximize profits.Design/methodology/approachThe authors' paper designs a stochastic model and investigates the manufacturer's optimal strategies of advance selling price and emission reduction efforts by categorizing different purchasing periods of low-carbon consumers. With the challenges of uncertain demand and government's emission constraints, the authors' develop the non-linear optimization model to investigate the manufacturer's profit-oriented decisions.FindingsThe results show the government's carbon constraints cannot influence the manufacturer's profit, but the consumer's low-carbon preference in the advance selling period can. Interestingly, the manufacturer will make fewer reduction efforts even when the consumers have stronger environmental awareness. In addition, the increasing consumer price sensitivity will exacerbate the profit loss from mandatory emissions reduction. Overall, for achieving a win–win situation between emission reduction and profit growth, green manufacturers should not only consider the sales strategies, market demand, and government constraints in a low-carbon market, but also pay attention to the uncertainty of green technology innovation.Originality/valueWith the consideration of the government's carbon emission constraints, uncertain demand, and low-carbon consumer's preferences, the authors' study innovatively incorporates the joint impacts of advance selling strategy and emission reduction effort strategy and then differentiates between two cases that pertain to the diverse carbon emission regulations.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"61 1","pages":"2680-2709"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82184010","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 : 2022-10-17DOI: 10.1108/imds-04-2021-0254
Yao Xiao, Jie Cen, Jie Hao
PurposeThe aim of this study was to investigate the impact of the transactive memory system (TMS) on green innovation and examine the mediation role of the social network at all hierarchical levels.Design/methodology/approachThree hypotheses were examined by performing regression analyses on survey data from manufacturing firms in China. Especially, the nested sets of data from 389 individual observations nested in 53 work teams, including individual level and collective level have been investigated.FindingsThe study results show that the TMS has a positive effect on green innovation. Furthermore, the results indicate that at the team level, structure holes' mediation in this relationship is stronger than degree centrality; at the individual level, weak ties mediation in the relationship of specialization and green innovation is stronger than strong ties, conversely, strong ties mediation in the relationship of credibility and green innovation is stronger than weak ties.Originality/valueThis study expands previous research by highlighting the significance of multilevel social network elements in the context of the TMS and sustainable development and enriches the present research on green innovation.
{"title":"Transactive memory system and green innovation: a cross-level mediation of social network","authors":"Yao Xiao, Jie Cen, Jie Hao","doi":"10.1108/imds-04-2021-0254","DOIUrl":"https://doi.org/10.1108/imds-04-2021-0254","url":null,"abstract":"PurposeThe aim of this study was to investigate the impact of the transactive memory system (TMS) on green innovation and examine the mediation role of the social network at all hierarchical levels.Design/methodology/approachThree hypotheses were examined by performing regression analyses on survey data from manufacturing firms in China. Especially, the nested sets of data from 389 individual observations nested in 53 work teams, including individual level and collective level have been investigated.FindingsThe study results show that the TMS has a positive effect on green innovation. Furthermore, the results indicate that at the team level, structure holes' mediation in this relationship is stronger than degree centrality; at the individual level, weak ties mediation in the relationship of specialization and green innovation is stronger than strong ties, conversely, strong ties mediation in the relationship of credibility and green innovation is stronger than weak ties.Originality/valueThis study expands previous research by highlighting the significance of multilevel social network elements in the context of the TMS and sustainable development and enriches the present research on green innovation.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"1 1","pages":"2737-2761"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88852706","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 : 2022-10-13DOI: 10.1108/imds-02-2022-0121
Gang Liu, A. Kianto, E. Tsui
PurposeThis meta-analytic study tries to synthesize the mixed relationships between knowledge management technologies (KMT) and organizational performance as well as aims to explore the impacts of contextual elements, such as national culture, economy and industries, on these relationships.Design/methodology/approachFindings on various subjects from 40 previous empirical studies were examined using meta-analysis.FindingsIt was found that KMT are positively related to overall organizational performance as well as financial and nonfinancial performance and that the relationship between KMT and financial performance is stronger in developing economies than in developed economies.Practical implicationsIt helps practitioners better understand the role of KMT in organizational performance in various contexts and provides practical suggestions for KMT implementation.Originality/valueAs the first meta-analytic study to address the generalizability of KMT–organizational performance relationships, this paper offers an improved understanding of the benefits of KMT. It also expands knowledge about how contextual issues related to national culture, economies and industries affect KMT payoffs.
{"title":"Knowledge management technologies and organizational performance: a meta-analytic study","authors":"Gang Liu, A. Kianto, E. Tsui","doi":"10.1108/imds-02-2022-0121","DOIUrl":"https://doi.org/10.1108/imds-02-2022-0121","url":null,"abstract":"PurposeThis meta-analytic study tries to synthesize the mixed relationships between knowledge management technologies (KMT) and organizational performance as well as aims to explore the impacts of contextual elements, such as national culture, economy and industries, on these relationships.Design/methodology/approachFindings on various subjects from 40 previous empirical studies were examined using meta-analysis.FindingsIt was found that KMT are positively related to overall organizational performance as well as financial and nonfinancial performance and that the relationship between KMT and financial performance is stronger in developing economies than in developed economies.Practical implicationsIt helps practitioners better understand the role of KMT in organizational performance in various contexts and provides practical suggestions for KMT implementation.Originality/valueAs the first meta-analytic study to address the generalizability of KMT–organizational performance relationships, this paper offers an improved understanding of the benefits of KMT. It also expands knowledge about how contextual issues related to national culture, economies and industries affect KMT payoffs.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"22 1","pages":"386-408"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73212175","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 : 2022-10-12DOI: 10.1108/imds-03-2022-0159
Yue Wang, D. Mo, Hoi-Lam Ma
PurposeMany e-commerce companies adopt a product customization platform offering various choices for customers to configure products to better satisfy their needs. However, a method to effectively measure customer satisfaction is lacking. This paper aims to investigate customers' perception of time in the online configuration process of customized products and seeks to propose time perception as the measurement of the effectiveness of online product customization.Design/methodology/approachAn online laptop customization system was used in an empirical experiment to collect respondents' answers in a set of research questions. Regression and correlation analysis were conducted to investigate the factors affecting customers' satisfaction as well as the relationships with time perception.FindingsThe experimental results reveal several factors in customers' perception of time during the online product customization process. First, customers tend to overestimate the amount of time spent in a short-duration task but underestimate the amount of time spent in a long-duration task. Second, customers' perceptions of time are significantly correlated with their satisfaction with the configured products, and perceived time is moderately correlated with their satisfaction with the configuration process. Third, the difficulty of customization tasks and customers' motivation to process information also significantly affect customers' perceptions of time.Originality/valueThis paper advances the research on time perception by developing a new relative segmentation-based method to estimate the subjective perception of time. This study also makes several contributions to product customization research: the authors fill a research gap in the field of product customization by incorporating customers' perceptions of time into the measurement of customer satisfaction and by identifying the significant relationships among customers' perception of time, the ease of task selection, the customers' motivation to process information, and customers' satisfaction with customized products. These results aid in the design of online product customization systems.
{"title":"Perception of time in the online product customization process","authors":"Yue Wang, D. Mo, Hoi-Lam Ma","doi":"10.1108/imds-03-2022-0159","DOIUrl":"https://doi.org/10.1108/imds-03-2022-0159","url":null,"abstract":"PurposeMany e-commerce companies adopt a product customization platform offering various choices for customers to configure products to better satisfy their needs. However, a method to effectively measure customer satisfaction is lacking. This paper aims to investigate customers' perception of time in the online configuration process of customized products and seeks to propose time perception as the measurement of the effectiveness of online product customization.Design/methodology/approachAn online laptop customization system was used in an empirical experiment to collect respondents' answers in a set of research questions. Regression and correlation analysis were conducted to investigate the factors affecting customers' satisfaction as well as the relationships with time perception.FindingsThe experimental results reveal several factors in customers' perception of time during the online product customization process. First, customers tend to overestimate the amount of time spent in a short-duration task but underestimate the amount of time spent in a long-duration task. Second, customers' perceptions of time are significantly correlated with their satisfaction with the configured products, and perceived time is moderately correlated with their satisfaction with the configuration process. Third, the difficulty of customization tasks and customers' motivation to process information also significantly affect customers' perceptions of time.Originality/valueThis paper advances the research on time perception by developing a new relative segmentation-based method to estimate the subjective perception of time. This study also makes several contributions to product customization research: the authors fill a research gap in the field of product customization by incorporating customers' perceptions of time into the measurement of customer satisfaction and by identifying the significant relationships among customers' perception of time, the ease of task selection, the customers' motivation to process information, and customers' satisfaction with customized products. These results aid in the design of online product customization systems.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"43 1","pages":"369-385"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90684035","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 : 2022-10-12DOI: 10.1108/imds-09-2022-811
Y. Shou, Yongjiang Shi, G. Ren
{"title":"Guest editorial: Deconstructing business ecosystems: complementarity, capabilities, co-creation and co-evolution","authors":"Y. Shou, Yongjiang Shi, G. Ren","doi":"10.1108/imds-09-2022-811","DOIUrl":"https://doi.org/10.1108/imds-09-2022-811","url":null,"abstract":"","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"86 1","pages":"1977-1986"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83929040","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 : 2022-10-06DOI: 10.1108/imds-01-2022-0019
Tong Lv, Lefeng Shi, Weijun He
PurposeA vital job for one sharing business is dynamically dispatching shared items to balance the demand-supply of different sharing points in one sharing network. In order to construct a highly efficient dispatch strategy, this paper proposes a new dispatching algorithm based on the findings of sharing network characteristics.Design/methodology/approachTo that end, in this paper, the profit-changing process of single sharing points is modeled and analyzed first. And then, the characteristics of the whole sharing network are investigated. Subsequently, some interesting propositions are obtained, based on which an algorithm (named the Two-step random forest reinforcement learning algorithm) is proposed.FindingsThe authors discover that the sharing points of a common sharing network could be categorized into 6 types according to their profit dynamics; a sharing network that is made up of various combinations of sharing stations would exhibit distinct profit characteristics. Accounting for the characteristics, a specific method for guiding the dynamic dispatch of shared products is developed and validated.Originality/valueBecause the suggested method considers the interaction features between sharing points in a sharing network, its computation speeds and the convergence efficacy to the global optimum scheme are better than similar studies. It suits better to the sharing business requiring a higher time-efficiency.
{"title":"Sharing network features analysis and dispatching strategy design","authors":"Tong Lv, Lefeng Shi, Weijun He","doi":"10.1108/imds-01-2022-0019","DOIUrl":"https://doi.org/10.1108/imds-01-2022-0019","url":null,"abstract":"PurposeA vital job for one sharing business is dynamically dispatching shared items to balance the demand-supply of different sharing points in one sharing network. In order to construct a highly efficient dispatch strategy, this paper proposes a new dispatching algorithm based on the findings of sharing network characteristics.Design/methodology/approachTo that end, in this paper, the profit-changing process of single sharing points is modeled and analyzed first. And then, the characteristics of the whole sharing network are investigated. Subsequently, some interesting propositions are obtained, based on which an algorithm (named the Two-step random forest reinforcement learning algorithm) is proposed.FindingsThe authors discover that the sharing points of a common sharing network could be categorized into 6 types according to their profit dynamics; a sharing network that is made up of various combinations of sharing stations would exhibit distinct profit characteristics. Accounting for the characteristics, a specific method for guiding the dynamic dispatch of shared products is developed and validated.Originality/valueBecause the suggested method considers the interaction features between sharing points in a sharing network, its computation speeds and the convergence efficacy to the global optimum scheme are better than similar studies. It suits better to the sharing business requiring a higher time-efficiency.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"74 1","pages":"2371-2392"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80648760","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 : 2022-10-05DOI: 10.1108/imds-04-2022-0259
Chun-Hsing Chen, Depeng Zhang
PurposeNegative word-of-mouth has a variety of negative effects on companies. Thus, how consumers process and evaluate negative word-of-mouth is an important issue for companies. This research aims to investigate the effect of emotional intensity of negative word-of-mouth on consumers' perceived helpfulness.Design/methodology/approachThe research model was developed based on attribution theory. A four-study approach involving two field experiments and two online experiments was employed to examine the proposed hypotheses.FindingsThe results show that the emotional intensity of negative word-of-mouth negatively affects altruistic motive attributions, while altruistic motive attributions positively affect perceived helpfulness and plays a mediating role in the relationship between the emotional intensity of negative word-of-mouth and perceived helpfulness. Consumers' self-construal moderates the effects of emotional intensity of negative word-of-mouth on altruistic motive attributions and perceived helpfulness, with the negative effects of emotional intensity of negative word-of-mouth on altruistic motive attributions and perceived helpfulness being weaker for consumers with high interdependent self-construal than for those with high independent self-construal.Originality/valueThe findings not only have a significant theoretical contribution, deepening the understanding of the effects of negative word-of-mouth but also have useful implications for practitioners to improve the management of negative word-of-mouth.
{"title":"Impact of emotional intensity of negative word-of-mouth on perceived helpfulness in social media","authors":"Chun-Hsing Chen, Depeng Zhang","doi":"10.1108/imds-04-2022-0259","DOIUrl":"https://doi.org/10.1108/imds-04-2022-0259","url":null,"abstract":"PurposeNegative word-of-mouth has a variety of negative effects on companies. Thus, how consumers process and evaluate negative word-of-mouth is an important issue for companies. This research aims to investigate the effect of emotional intensity of negative word-of-mouth on consumers' perceived helpfulness.Design/methodology/approachThe research model was developed based on attribution theory. A four-study approach involving two field experiments and two online experiments was employed to examine the proposed hypotheses.FindingsThe results show that the emotional intensity of negative word-of-mouth negatively affects altruistic motive attributions, while altruistic motive attributions positively affect perceived helpfulness and plays a mediating role in the relationship between the emotional intensity of negative word-of-mouth and perceived helpfulness. Consumers' self-construal moderates the effects of emotional intensity of negative word-of-mouth on altruistic motive attributions and perceived helpfulness, with the negative effects of emotional intensity of negative word-of-mouth on altruistic motive attributions and perceived helpfulness being weaker for consumers with high interdependent self-construal than for those with high independent self-construal.Originality/valueThe findings not only have a significant theoretical contribution, deepening the understanding of the effects of negative word-of-mouth but also have useful implications for practitioners to improve the management of negative word-of-mouth.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"110 1","pages":"2657-2679"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85340811","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 : 2022-10-04DOI: 10.1108/imds-06-2022-0383
Zujun Zhu, Junzhe Liu, Mengru Zhang
PurposeReward-based crowdfunding, an emerging financing channel for SMEs, has attracted significant attention from scholars and practitioners. Scholars have mostly explored investors’ herding behavior in platforms to better understand investors’ decision-making mechanisms and management of funding projects. However, current evidence is inconsistent regarding herding behavior during the funding process. This study proposes prior funding performances have a nonlinear effect on subsequent funding performance and that this nonlinear relationship is conditional on competition intensity and information disclosure.Design/methodology/approachBased on objective data collected from a dominant reward-based crowdfunding platform in China, this study follows a panel ordinary least squares (OLS) model to estimate the effects of prior funding performance on the subsequent funding performance and the moderating role of environmental factors (i.e. competition intensity and information disclosure) in a given platform.FindingsThe results show prior funding performance had an inverted U-shaped effect on subsequent performance; this inverted U-shaped relationship was attenuated when the number of interactive messages was larger and competition was more intense, and it was strengthened when information updates were more frequent.Originality/valueThe effects of prior funding performance on subsequent performance at different stages of the fundraising process and under different platform environments remains unclear. The authors revisit the varying viewpoints in existing research and propose that the enhancement and substitution effects of prior funding performance are dominant at different funding stages. Overall, the results of this study highlight that the crowdfunding platform environment may become a boundary condition for investors' herding behavior.
{"title":"Rethinking investors' herding behavior under the conditions of reward-based crowdfunding platform","authors":"Zujun Zhu, Junzhe Liu, Mengru Zhang","doi":"10.1108/imds-06-2022-0383","DOIUrl":"https://doi.org/10.1108/imds-06-2022-0383","url":null,"abstract":"PurposeReward-based crowdfunding, an emerging financing channel for SMEs, has attracted significant attention from scholars and practitioners. Scholars have mostly explored investors’ herding behavior in platforms to better understand investors’ decision-making mechanisms and management of funding projects. However, current evidence is inconsistent regarding herding behavior during the funding process. This study proposes prior funding performances have a nonlinear effect on subsequent funding performance and that this nonlinear relationship is conditional on competition intensity and information disclosure.Design/methodology/approachBased on objective data collected from a dominant reward-based crowdfunding platform in China, this study follows a panel ordinary least squares (OLS) model to estimate the effects of prior funding performance on the subsequent funding performance and the moderating role of environmental factors (i.e. competition intensity and information disclosure) in a given platform.FindingsThe results show prior funding performance had an inverted U-shaped effect on subsequent performance; this inverted U-shaped relationship was attenuated when the number of interactive messages was larger and competition was more intense, and it was strengthened when information updates were more frequent.Originality/valueThe effects of prior funding performance on subsequent performance at different stages of the fundraising process and under different platform environments remains unclear. The authors revisit the varying viewpoints in existing research and propose that the enhancement and substitution effects of prior funding performance are dominant at different funding stages. Overall, the results of this study highlight that the crowdfunding platform environment may become a boundary condition for investors' herding behavior.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"1 1","pages":"2762-2782"},"PeriodicalIF":0.0,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89809393","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 : 2022-10-03DOI: 10.1108/imds-03-2022-0188
Juyeon Ham, Yunmo Koo, Jae Nam Lee
PurposeIn the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.Design/methodology/approachFrom the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).FindingsFour configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.Originality/valueThis study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.
{"title":"Government data openness and knowledge management: configurational patterns for national competitiveness","authors":"Juyeon Ham, Yunmo Koo, Jae Nam Lee","doi":"10.1108/imds-03-2022-0188","DOIUrl":"https://doi.org/10.1108/imds-03-2022-0188","url":null,"abstract":"PurposeIn the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.Design/methodology/approachFrom the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).FindingsFour configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.Originality/valueThis study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"24 1","pages":"2710-2736"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80042671","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 : 2022-10-03DOI: 10.1108/imds-03-2022-0165
Changgyu Yang
PurposeThe aim of this paper is to explore the changes in the ICT and global value chains (GVCs) after the COVID-19 pandemic.Design/methodology/approachThis study compared the difference between Korea’ domestic ICT industries, ICT imports and ICT exports before and after the COVID-19 outbreak by using trade data of ICT products and national economic indicators, and presents growth strategy for the ICT industry in the post-COVID 19 era. For this purpose, this study determined the causalities between Korea's imports/exports of ICT products and composite Indexes before and after COVID-19, and derived implications in the ICT industry environment after the COVID-19 pandemic.FindingsAnalysis results showed the following changes in Korea's ICT industry in the post-COVID-19 world. (1) Non-face-to-face and contact-free technologies related sectors in the ICT industry, such as the semiconductor sector, have grown exponentially; (2) as the USA has grown as the new key player, the causal relationship with China, a key player of the GVC in the pre-COVID-19 era, disappeared; and (3) the GVC of the ICT industry is not a rigid one-way vertical structure, but is changing to a flexible structure influenced by cooperation and competition between countries.Originality/valueThe results indicate that it is essential to constantly develop new ICT sectors that make use of non-face-to-face and contact-free technologies in the post-COVID-19 era, and the main strategies in response to the changed GVC would be taking the initiative by securing source technologies and expanding through cooperation with other GVCs and resource sharing.
{"title":"A study on the changes in the ICT industry after the COVID-19 pandemic","authors":"Changgyu Yang","doi":"10.1108/imds-03-2022-0165","DOIUrl":"https://doi.org/10.1108/imds-03-2022-0165","url":null,"abstract":"PurposeThe aim of this paper is to explore the changes in the ICT and global value chains (GVCs) after the COVID-19 pandemic.Design/methodology/approachThis study compared the difference between Korea’ domestic ICT industries, ICT imports and ICT exports before and after the COVID-19 outbreak by using trade data of ICT products and national economic indicators, and presents growth strategy for the ICT industry in the post-COVID 19 era. For this purpose, this study determined the causalities between Korea's imports/exports of ICT products and composite Indexes before and after COVID-19, and derived implications in the ICT industry environment after the COVID-19 pandemic.FindingsAnalysis results showed the following changes in Korea's ICT industry in the post-COVID-19 world. (1) Non-face-to-face and contact-free technologies related sectors in the ICT industry, such as the semiconductor sector, have grown exponentially; (2) as the USA has grown as the new key player, the causal relationship with China, a key player of the GVC in the pre-COVID-19 era, disappeared; and (3) the GVC of the ICT industry is not a rigid one-way vertical structure, but is changing to a flexible structure influenced by cooperation and competition between countries.Originality/valueThe results indicate that it is essential to constantly develop new ICT sectors that make use of non-face-to-face and contact-free technologies in the post-COVID-19 era, and the main strategies in response to the changed GVC would be taking the initiative by securing source technologies and expanding through cooperation with other GVCs and resource sharing.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"73 1","pages":"64-78"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75612341","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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