Purpose This paper aims to analyse three decision-making approaches that involve humans and artificial autonomous agents, namely, human “in the loop”, “on the loop” and “out of the loop” and identifies the decision characteristics that determine the choice of a decision-making approach. Design/methodology/approach This is a conceptual paper that analyses the relationships between the human and the artificial autonomous agents in the decision-making process from the perspectives of the agency theory, sustainability, legislation, economics and operations management. Findings The paper concludes that the human “out of the loop” approach is most suitable for quick, standardised, frequent decisions with low negative consequences of a wrong decision by the artificial intelligence taken within a well-defined context. Complex decisions with high outcome uncertainty that involve significant ethical issues require human participation in the form of a human “in the loop” or “on the loop” approach. Decisions that require high transparency need to be left to humans. Originality/value The paper evaluates the decision-making approaches from the perspectives of the agency theory, sustainability, legislation, economics and operations management and identifies the decision characteristics that determine the choice of a decision-making approach.
{"title":"Automated decision-making","authors":"Stanislav Ivanov","doi":"10.1108/fs-09-2021-0183","DOIUrl":"https://doi.org/10.1108/fs-09-2021-0183","url":null,"abstract":"\u0000Purpose\u0000This paper aims to analyse three decision-making approaches that involve humans and artificial autonomous agents, namely, human “in the loop”, “on the loop” and “out of the loop” and identifies the decision characteristics that determine the choice of a decision-making approach.\u0000\u0000\u0000Design/methodology/approach\u0000This is a conceptual paper that analyses the relationships between the human and the artificial autonomous agents in the decision-making process from the perspectives of the agency theory, sustainability, legislation, economics and operations management.\u0000\u0000\u0000Findings\u0000The paper concludes that the human “out of the loop” approach is most suitable for quick, standardised, frequent decisions with low negative consequences of a wrong decision by the artificial intelligence taken within a well-defined context. Complex decisions with high outcome uncertainty that involve significant ethical issues require human participation in the form of a human “in the loop” or “on the loop” approach. Decisions that require high transparency need to be left to humans.\u0000\u0000\u0000Originality/value\u0000The paper evaluates the decision-making approaches from the perspectives of the agency theory, sustainability, legislation, economics and operations management and identifies the decision characteristics that determine the choice of a decision-making approach.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46789887","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}
Purpose Scenario planning is a useful approach that helps policymakers to better understand the complexity and uncertainties that lie in the future and to choose the right policy mix to support the development of renewable and affordable energy sources. In this regard, this paper aims to present renewable energy (RE) development scenarios in Iran in the horizon of 2030. Design/methodology/approach Following the intuitive logic school and the Global Business Network model, the authors identified seven driving forces, according to the expert’s judgment, by brainstorming techniques which influence REs development in the horizon of 2030. By prioritizing driving forces based on their importance and uncertainty, “sustainable and green economy” and “emerging technology development” are the most instrumental uncertainties and the authors formed a two-axis scenario matrix with each representing an axis. Findings The results suggest four main scenarios of “Transition to Sustainability with Green Gold,” “Towards Sustainability with Green Gold,” “Productivity with Black Gold” and “Desperation with Black Gold.” They include a wide range of possible situations of energy basket in the future ranging from dominance of fossil fuels to dominance of REs. The “Productivity with Black Gold” and the “Towards Sustainability with Green Gold” are the most probable scenarios of RE development by 2030 in Iran. Originality/value This paper indicates that the dominance of oil and gas resources would impede or at least slow down the development of renewable and affordable energy sources. Although the economic and environmental potentials and the inevitability of REs are well-understood, path dependence created by fossil fuels in Iran’s energy regime, either partially or fully, hinders the widespread development of REs which is the case in other resource-based countries as well.
{"title":"Under domination of oil and gas: future scenarios of renewable energy development in Iran","authors":"K. Fartash, A. Ghorbani","doi":"10.1108/fs-08-2021-0157","DOIUrl":"https://doi.org/10.1108/fs-08-2021-0157","url":null,"abstract":"Purpose Scenario planning is a useful approach that helps policymakers to better understand the complexity and uncertainties that lie in the future and to choose the right policy mix to support the development of renewable and affordable energy sources. In this regard, this paper aims to present renewable energy (RE) development scenarios in Iran in the horizon of 2030. Design/methodology/approach Following the intuitive logic school and the Global Business Network model, the authors identified seven driving forces, according to the expert’s judgment, by brainstorming techniques which influence REs development in the horizon of 2030. By prioritizing driving forces based on their importance and uncertainty, “sustainable and green economy” and “emerging technology development” are the most instrumental uncertainties and the authors formed a two-axis scenario matrix with each representing an axis. Findings The results suggest four main scenarios of “Transition to Sustainability with Green Gold,” “Towards Sustainability with Green Gold,” “Productivity with Black Gold” and “Desperation with Black Gold.” They include a wide range of possible situations of energy basket in the future ranging from dominance of fossil fuels to dominance of REs. The “Productivity with Black Gold” and the “Towards Sustainability with Green Gold” are the most probable scenarios of RE development by 2030 in Iran. Originality/value This paper indicates that the dominance of oil and gas resources would impede or at least slow down the development of renewable and affordable energy sources. Although the economic and environmental potentials and the inevitability of REs are well-understood, path dependence created by fossil fuels in Iran’s energy regime, either partially or fully, hinders the widespread development of REs which is the case in other resource-based countries as well.","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41983846","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}
Purpose Contactless shopping concepts meet the needs of those consumers who want to minimise social interactions, especially due to COVID-19; they also offer added value by combining the advantages of traditional shopping with digital features that stem from online shopping. The development of digitalised retail concepts has been made possible through digitisation and the use of new technologies. To date, the concepts have been created with various formats through the application of the most advanced Industry 4.0 technologies. This paper aims to provide a deepened understanding of the latest trends and draws attention to the various classes, including shopping functionalities and features. Design/methodology/approach This paper performs a review of current disruptive and new business retail concepts within the grocery retail industry in Germany. Therefore, a secondary research methodology and observations were performed to create an overview and a categorization. This categorization has been used to identify the related cases. Findings The results add to the literature as follows. First, a matching of contactless shopping to innovative business models is made. Second, a status-quo analysis of contactless shopping solutions in Germany is carried out with defined set of criteria. This study created a list of all major available contactless shopping solutions. Third, this study examines two new business models, namely, automated vending machines and walk-in stores, which meet the changes in consumer behaviour and needs in times of the COVID-19 pandemic. Originality/value This paper provides a deeper understanding of the latest trends within the retail industry and draws attention to disruptive business models as well as the functionalities and features of shopping solutions. New store concepts launched during the COVID-19 pandemic have resulted in unique selling propositions of 24-h everyday shopping and contactless shopping.
{"title":"The impact of COVID-19 on the grocery retail industry: innovative approaches for contactless store concepts in Germany","authors":"Caroline Heins","doi":"10.1108/fs-02-2021-0042","DOIUrl":"https://doi.org/10.1108/fs-02-2021-0042","url":null,"abstract":"\u0000Purpose\u0000Contactless shopping concepts meet the needs of those consumers who want to minimise social interactions, especially due to COVID-19; they also offer added value by combining the advantages of traditional shopping with digital features that stem from online shopping. The development of digitalised retail concepts has been made possible through digitisation and the use of new technologies. To date, the concepts have been created with various formats through the application of the most advanced Industry 4.0 technologies. This paper aims to provide a deepened understanding of the latest trends and draws attention to the various classes, including shopping functionalities and features.\u0000\u0000\u0000Design/methodology/approach\u0000This paper performs a review of current disruptive and new business retail concepts within the grocery retail industry in Germany. Therefore, a secondary research methodology and observations were performed to create an overview and a categorization. This categorization has been used to identify the related cases.\u0000\u0000\u0000Findings\u0000The results add to the literature as follows. First, a matching of contactless shopping to innovative business models is made. Second, a status-quo analysis of contactless shopping solutions in Germany is carried out with defined set of criteria. This study created a list of all major available contactless shopping solutions. Third, this study examines two new business models, namely, automated vending machines and walk-in stores, which meet the changes in consumer behaviour and needs in times of the COVID-19 pandemic.\u0000\u0000\u0000Originality/value\u0000This paper provides a deeper understanding of the latest trends within the retail industry and draws attention to disruptive business models as well as the functionalities and features of shopping solutions. New store concepts launched during the COVID-19 pandemic have resulted in unique selling propositions of 24-h everyday shopping and contactless shopping.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":"31 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62432021","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}
Sabra Munir, Siti Zaleha Abdul Rasid, M. Aamir, Farrukh Jamil, Ishfaq Ahmed
Purpose This paper aims to assess the impact of big data analytics capabilities (BDAC) on organizational innovation performance through process-oriented dynamic capabilities (PODC), as a mediator, as well as the moderating roles of organizational culture (OC) and management accountants, in this artificial intelligence (AI) era. This paper also aims to provide information on the emerging trends and implications of the abovementioned relationships by focusing on these relationships and interactions. Design/methodology/approach This exploratory study used the close-ended questionnaire approach based on the resource-based view and socio-materiality theories. This included sending questionnaires to top-level management, including Chief Financial Officer/Chief Executive Officers/Chief Information Officers (CFO/CEOs/CIOs), having an in-depth understanding of the concepts, practical applications and usage of big data as well as BDAC.181 valid questionnaire-based responses were analyzed using the partial least square structural equation modelling technique and bootstrapping moderated mediation method. Findings This study provides empirical insights into how BDAC impact innovative performance through PODC as well as the moderating effects of OC and management accountants. This involves a shift in focus from almost standardized approaches to developing BDAC without contextual focus on approaches that are much more heterogeneously related to each organization and hence are more focused on the context of the pharmaceutical industry. Research limitations/implications The main aim of key research questions in this study is to increase the contributions of BDAC toward improving innovation performance in the presence of the abovementioned variables and relationships that exist between them. The chosen research approach can be improved by carrying out interviews with the top management to obtain more relevant and detailed information for developing a better understanding of the abovementioned relationships. Practical implications This study outlines how organizations that are developing BDAC approaches can focus on relevant factors and variables to help their initiatives and its role in organizational innovative performance. This will also help them develop sustainable competitive advantage in manufacturing concerns, specifically in the health industry, namely, the pharmaceutical industry. Originality/value This study investigated the effects and implications of big data on organizations in the AI era that aim to achieve innovation performance. At the same time, it provides an original understanding of the contextual importance of investing in BDAC development. It also considers the role of management accountants as a bridge between data scientists and business managers in a big data environment, especially in the pharmaceutical industry. The current study used first-time data from surveys involving CFOs, CEOs or CIOs of pharmaceutical companies in Paki
{"title":"Big data analytics capabilities and innovation effect of dynamic capabilities, organizational culture and role of management accountants","authors":"Sabra Munir, Siti Zaleha Abdul Rasid, M. Aamir, Farrukh Jamil, Ishfaq Ahmed","doi":"10.1108/fs-08-2021-0161","DOIUrl":"https://doi.org/10.1108/fs-08-2021-0161","url":null,"abstract":"\u0000Purpose\u0000This paper aims to assess the impact of big data analytics capabilities (BDAC) on organizational innovation performance through process-oriented dynamic capabilities (PODC), as a mediator, as well as the moderating roles of organizational culture (OC) and management accountants, in this artificial intelligence (AI) era. This paper also aims to provide information on the emerging trends and implications of the abovementioned relationships by focusing on these relationships and interactions.\u0000\u0000\u0000Design/methodology/approach\u0000This exploratory study used the close-ended questionnaire approach based on the resource-based view and socio-materiality theories. This included sending questionnaires to top-level management, including Chief Financial Officer/Chief Executive Officers/Chief Information Officers (CFO/CEOs/CIOs), having an in-depth understanding of the concepts, practical applications and usage of big data as well as BDAC.181 valid questionnaire-based responses were analyzed using the partial least square structural equation modelling technique and bootstrapping moderated mediation method.\u0000\u0000\u0000Findings\u0000This study provides empirical insights into how BDAC impact innovative performance through PODC as well as the moderating effects of OC and management accountants. This involves a shift in focus from almost standardized approaches to developing BDAC without contextual focus on approaches that are much more heterogeneously related to each organization and hence are more focused on the context of the pharmaceutical industry.\u0000\u0000\u0000Research limitations/implications\u0000The main aim of key research questions in this study is to increase the contributions of BDAC toward improving innovation performance in the presence of the abovementioned variables and relationships that exist between them. The chosen research approach can be improved by carrying out interviews with the top management to obtain more relevant and detailed information for developing a better understanding of the abovementioned relationships.\u0000\u0000\u0000Practical implications\u0000This study outlines how organizations that are developing BDAC approaches can focus on relevant factors and variables to help their initiatives and its role in organizational innovative performance. This will also help them develop sustainable competitive advantage in manufacturing concerns, specifically in the health industry, namely, the pharmaceutical industry.\u0000\u0000\u0000Originality/value\u0000This study investigated the effects and implications of big data on organizations in the AI era that aim to achieve innovation performance. At the same time, it provides an original understanding of the contextual importance of investing in BDAC development. It also considers the role of management accountants as a bridge between data scientists and business managers in a big data environment, especially in the pharmaceutical industry. The current study used first-time data from surveys involving CFOs, CEOs or CIOs of pharmaceutical companies in Paki","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43435027","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}
Purpose This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship. Design/methodology/approach To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India. Findings This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors. Practical implications This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes. Originality/value According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.
本研究旨在研究哪些组织和其他因素可以促进印度管理机构采用人工智能(AI)及其相互关系。设计/方法/方法为了确定影响人工智能采用的因素，采用了基于综合的文献检查。采用解释结构建模(ISM)方法确定识别的因素中最有效的因素以及因素之间的相互关系，采用决策试验与评价实验室(DEMATEL)方法定量分析因素之间的因果关系。分析中使用的方法有助于理解影响印度管理机构采用人工智能的因素之间的关系。本研究得出结论，领导支持在印度管理机构采用人工智能方面发挥了最重要的作用。DEMATEL分析的结果也证实了ISM和matrix d ' Impacts croises-乘法贴花和分类(MICMAC)分析的结果。值得注意的是，研究中未发现任何连锁因子(不稳定因子)。领导支持、技术背景、财务考虑、组织背景和人力资源准备被报告为独立因素。本研究列出了影响印度管理机构采用人工智能的重要因素及其结构关系。这些发现为人工智能的采用提供了更深入的见解。该研究的社会影响包括印度管理学院提供了更好的结果。原创性/价值根据作者的说法，这项研究是一项独一无二的努力，涉及几个经过验证的模型和框架的综合，并揭示了印度管理机构采用人工智能的关键因素及其联系。
{"title":"Modelling the factors in the adoption of artificial intelligence in Indian management institutes","authors":"Samant Shant Priya, V. Jain, Meenu Shant Priya, Sushil Kumar Dixit, Gaurav Joshi","doi":"10.1108/fs-09-2021-0181","DOIUrl":"https://doi.org/10.1108/fs-09-2021-0181","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship.\u0000\u0000\u0000Design/methodology/approach\u0000To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India.\u0000\u0000\u0000Findings\u0000This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors.\u0000\u0000\u0000Practical implications\u0000This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes.\u0000\u0000\u0000Originality/value\u0000According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43413941","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}
Purpose The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption. Design/methodology/approach This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry. Findings The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%. Originality/value To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.
{"title":"Foresights for big data across industries","authors":"F. Almeida","doi":"10.1108/fs-02-2021-0059","DOIUrl":"https://doi.org/10.1108/fs-02-2021-0059","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption.\u0000\u0000\u0000Design/methodology/approach\u0000This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry.\u0000\u0000\u0000Findings\u0000The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%.\u0000\u0000\u0000Originality/value\u0000To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49393603","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}
Purpose The COVID-19 pandemic has disrupted the supply chains, and this brought researchers and practitioners to think about more on circular supply chains (CSC). The CSC concept has been discussed in the literature more than a decade. This study aims to find out the theoretical roots of CSC by analyzing scholarly articles in literature. Design/methodology/approach This paper uses document cocitation analysis for reaching this aim. After retrieving data from Web of Science database, this paper explores data set by considering used references of these publications and clusters them based on their title terms and visualizes them by using cosine similarity index. Findings This paper concludes that CSC is mainly discussed along with sustainability, sustainable supply chains and green supply chains, where the focus is integrating circular economy principles to supply chain management (SCM). On the other hand, although resiliency is an essential characteristic of SCM, contribution of CSC to supply chain resilience is neglected in the literature. Research limitations/implications CSC will gain importance in near future to increase national/firm productivity, and findings of this paper will give researchers insights for furthering their studies. Social implications To avoid supply chain and market collapse caused by natural disruptions, supply chain resilience is of paramount importance. According to the findings of this paper, the authors believe that business resilience in COVID-19-restricted environment may have exit point by using circular perspective. Originality/value The importance of CSC has increased due to the disruptions caused by the COVID-19 pandemic. Therefore, this unique study was undertaken to investigate the evolution of this crucial topic with evidence from the literature through a cocitation analysis.
目的新冠肺炎大流行扰乱了供应链，这促使研究人员和从业者更多地思考循环供应链（CSC）。CSC的概念已经在文献中讨论了十多年。本研究旨在通过分析文献中的学术文章，找出CSC的理论根源。设计/方法论/方法本文采用文献分析法来达到这一目的。在从Web of Science数据库中检索数据后，本文通过考虑这些出版物的使用参考文献来探索数据集，并根据它们的标题术语对它们进行聚类，并使用余弦相似性指数对它们进行可视化。本文的结论是，CSC主要与可持续性、可持续供应链和绿色供应链一起讨论，重点是将循环经济原则与供应链管理相结合。另一方面，尽管弹性是供应链管理的一个基本特征，但CSC对供应链弹性的贡献在文献中被忽视了。研究局限性/含义CSC在不久的将来将在提高国家/企业生产力方面发挥重要作用，本文的研究结果将为研究人员进一步研究提供见解。社会影响为了避免自然中断导致的供应链和市场崩溃，供应链弹性至关重要。根据本文的研究结果，作者认为，通过循环视角，企业在新冠疫情限制环境中的韧性可能具有退出点。原创/价值由于新冠肺炎大流行造成的混乱，CSC的重要性有所增加。因此，进行这项独特的研究是为了通过联合分析，利用文献中的证据来调查这一关键主题的演变。
{"title":"Technological intelligence for circular supply chain: a co-citation analysis approach","authors":"Aynur Kirbac, Serhat Burmaoglu, Dilek Ozdemir Gungor","doi":"10.1108/fs-11-2021-0226","DOIUrl":"https://doi.org/10.1108/fs-11-2021-0226","url":null,"abstract":"\u0000Purpose\u0000The COVID-19 pandemic has disrupted the supply chains, and this brought researchers and practitioners to think about more on circular supply chains (CSC). The CSC concept has been discussed in the literature more than a decade. This study aims to find out the theoretical roots of CSC by analyzing scholarly articles in literature.\u0000\u0000\u0000Design/methodology/approach\u0000This paper uses document cocitation analysis for reaching this aim. After retrieving data from Web of Science database, this paper explores data set by considering used references of these publications and clusters them based on their title terms and visualizes them by using cosine similarity index.\u0000\u0000\u0000Findings\u0000This paper concludes that CSC is mainly discussed along with sustainability, sustainable supply chains and green supply chains, where the focus is integrating circular economy principles to supply chain management (SCM). On the other hand, although resiliency is an essential characteristic of SCM, contribution of CSC to supply chain resilience is neglected in the literature.\u0000\u0000\u0000Research limitations/implications\u0000CSC will gain importance in near future to increase national/firm productivity, and findings of this paper will give researchers insights for furthering their studies.\u0000\u0000\u0000Social implications\u0000To avoid supply chain and market collapse caused by natural disruptions, supply chain resilience is of paramount importance. According to the findings of this paper, the authors believe that business resilience in COVID-19-restricted environment may have exit point by using circular perspective.\u0000\u0000\u0000Originality/value\u0000The importance of CSC has increased due to the disruptions caused by the COVID-19 pandemic. Therefore, this unique study was undertaken to investigate the evolution of this crucial topic with evidence from the literature through a cocitation analysis.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45619178","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}
M. R. H. Polas, M. Tabash, Asghar Afshar Jahanshahi, Bulbul Ahamed
Purpose This study aims to investigate the factors that influence the sustainable online purchase intentions of consumers during the COVID-19 pandemic. This study also examines the role of relational benefit and site commitment in the study model. Design/methodology/approach Data were obtained from a survey of 356 Bangladeshi consumers who were voluntarily using the internet during the COVID-19 pandemic. Data were analyzed using partial least square structural equation modelling with Smart PLS 3.0 and SPSS V25 tools. Findings The results show a positive and significant relationship between consumers’ personal innovativeness and impulse purchase orientation with their relational benefit and site commitment, social influence with relational benefit, relational benefit with site commitment, site commitment with the intention to purchase. Moreover, the study found that relational benefit mediates the relationship between impulse purchase orientation and social influence with site commitment. The results also indicate that site commitment mediates the relationship between personal innovativeness and impulse purchase orientation with the intention to purchase. The results further indicate that site commitment mediates the relationship between relational benefit and intention to purchase. Practical implications The findings allow online stores to consider crucial factors in their policies when making strategic decisions regarding the factors impacting consumers’ online purchasing intention during the COVID-19 pandemic. Originality/value In this study, a research framework is developed with a focus on the sustainable consumer intention to purchase. This study, therefore, adds to the existing literature by analyzing the factors that determine online purchase intentions during the COVID-19 pandemic in Bangladesh, given the limited number of studies on the online consumer behavioral intentions in related circumstances to COVID-19.
{"title":"Consumers’ sustainable online purchase behaviour during COVID-19 pandemic: the role of relational benefit and site commitment","authors":"M. R. H. Polas, M. Tabash, Asghar Afshar Jahanshahi, Bulbul Ahamed","doi":"10.1108/fs-01-2021-0012","DOIUrl":"https://doi.org/10.1108/fs-01-2021-0012","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate the factors that influence the sustainable online purchase intentions of consumers during the COVID-19 pandemic. This study also examines the role of relational benefit and site commitment in the study model.\u0000\u0000\u0000Design/methodology/approach\u0000Data were obtained from a survey of 356 Bangladeshi consumers who were voluntarily using the internet during the COVID-19 pandemic. Data were analyzed using partial least square structural equation modelling with Smart PLS 3.0 and SPSS V25 tools.\u0000\u0000\u0000Findings\u0000The results show a positive and significant relationship between consumers’ personal innovativeness and impulse purchase orientation with their relational benefit and site commitment, social influence with relational benefit, relational benefit with site commitment, site commitment with the intention to purchase. Moreover, the study found that relational benefit mediates the relationship between impulse purchase orientation and social influence with site commitment. The results also indicate that site commitment mediates the relationship between personal innovativeness and impulse purchase orientation with the intention to purchase. The results further indicate that site commitment mediates the relationship between relational benefit and intention to purchase.\u0000\u0000\u0000Practical implications\u0000The findings allow online stores to consider crucial factors in their policies when making strategic decisions regarding the factors impacting consumers’ online purchasing intention during the COVID-19 pandemic.\u0000\u0000\u0000Originality/value\u0000In this study, a research framework is developed with a focus on the sustainable consumer intention to purchase. This study, therefore, adds to the existing literature by analyzing the factors that determine online purchase intentions during the COVID-19 pandemic in Bangladesh, given the limited number of studies on the online consumer behavioral intentions in related circumstances to COVID-19.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47516461","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}
Purpose In the context of new workplace environment, this study aims to study and generate insights about artificial intelligence (AI) adoption in hiring process of firms. It is very relevant when AI is dramatically reshaping hiring function in the changing scenario. Design/methodology/approach The objectives are achieved with the help of three studies involving Delphi method to explore the criteria for AI adoption decision. Followed by two multi criteria decision-making techniques, i.e. analytic hierarchy process to identify weights of the criteria and fuzzy technique for order preference by similarity to ideal solution to assess the extent of AI adoption in hiring. Findings The findings reveal that information security and return on investment are considered two very important criteria by human resources managers while contemplating the adoption of AI in hiring process. It was found that AI adoption will be suitable at the sourcing and initial screening stages of hiring. And the suitability of the hiring stage where AI can be applied has been found to have changed from before and after the onset of COVID-19 pandemic situation. The findings and its discussion assist and enhance better decisions about AI adoption in hiring processes of firms amid changing scenario – external and internal to a firm. Research limitations/implications Findings also highlight research implications for future research studies in this emerging area. Practical implications Results act as a starting point for other human resources managers, who are still pondering over the idea of adopting AI in hiring in future. Originality/value This paper through a systematic approach contributes by identifying important evaluation criteria influencing AI adoption in firms and extent of its application in the stages of hiring. It makes a substantial contribution to the under-developed yet emerging paradigm of AI based hiring in practice and research.
{"title":"AI adoption in the hiring process – important criteria and extent of AI adoption","authors":"Prachi A. Bhatt","doi":"10.1108/fs-07-2021-0144","DOIUrl":"https://doi.org/10.1108/fs-07-2021-0144","url":null,"abstract":"\u0000Purpose\u0000In the context of new workplace environment, this study aims to study and generate insights about artificial intelligence (AI) adoption in hiring process of firms. It is very relevant when AI is dramatically reshaping hiring function in the changing scenario.\u0000\u0000\u0000Design/methodology/approach\u0000The objectives are achieved with the help of three studies involving Delphi method to explore the criteria for AI adoption decision. Followed by two multi criteria decision-making techniques, i.e. analytic hierarchy process to identify weights of the criteria and fuzzy technique for order preference by similarity to ideal solution to assess the extent of AI adoption in hiring.\u0000\u0000\u0000Findings\u0000The findings reveal that information security and return on investment are considered two very important criteria by human resources managers while contemplating the adoption of AI in hiring process. It was found that AI adoption will be suitable at the sourcing and initial screening stages of hiring. And the suitability of the hiring stage where AI can be applied has been found to have changed from before and after the onset of COVID-19 pandemic situation. The findings and its discussion assist and enhance better decisions about AI adoption in hiring processes of firms amid changing scenario – external and internal to a firm.\u0000\u0000\u0000Research limitations/implications\u0000Findings also highlight research implications for future research studies in this emerging area.\u0000\u0000\u0000Practical implications\u0000Results act as a starting point for other human resources managers, who are still pondering over the idea of adopting AI in hiring in future.\u0000\u0000\u0000Originality/value\u0000This paper through a systematic approach contributes by identifying important evaluation criteria influencing AI adoption in firms and extent of its application in the stages of hiring. It makes a substantial contribution to the under-developed yet emerging paradigm of AI based hiring in practice and research.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49283708","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}
Purpose The purpose of this study is to develop an integrated approach to evaluating corporate foresight (CF) studies at all stages of its implementation and to test this approach using the example of a Russian state-owned corporation. Design/methodology/approach The use of foresight by companies as a part of their strategic activities is growing but still rather limited. To increase the effectiveness of foresight at the corporate level and ensure its justification, special approaches and criteria for its evaluation should be developed. To develop the approach to evaluation of CF which would be useful at all stages of foresight realization, at first, the authors focused the authors’ attention on identification of main challenges, problem and barriers, which arise during foresight process on the one hand, and exploring success factors and lessons learnt from different case studies on the other hand. On the basis of this literature analysis, the authors have formed a long list of evaluation criteria, which reflect accumulated experience in the field and all-important aspects to make foresight project successful and effective. On the next step, the authors related these criteria with stages of foresight realization and evaluation category. For pilot testing of this methodology, the authors used a case of Russian state-owned corporation. Findings This paper has presented an integrated approach to the evaluation of CF projects. The logic of the evaluation process of CF at all stages of its implementation is proposed; key evaluation topics (concept, objectives, project team, design of the project, project methodology, stakeholders, implementation, resources, results and its dissemination, effects and impact and barriers) are identified, and the corresponding sets of criteria are formed. Originality/value The originality of the work lies in using a wide experience of national foresight studies evaluation for corporations. The suggested approach could be used as a framework for CF evaluation. It was tested on the Russian state-owned company RussX.
{"title":"An integrated approach for the evaluation of corporate foresight: the example of a Russian corporation","authors":"A. Sokolova, K. Vishnevskiy","doi":"10.1108/fs-10-2021-0189","DOIUrl":"https://doi.org/10.1108/fs-10-2021-0189","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to develop an integrated approach to evaluating corporate foresight (CF) studies at all stages of its implementation and to test this approach using the example of a Russian state-owned corporation.\u0000\u0000\u0000Design/methodology/approach\u0000The use of foresight by companies as a part of their strategic activities is growing but still rather limited. To increase the effectiveness of foresight at the corporate level and ensure its justification, special approaches and criteria for its evaluation should be developed. To develop the approach to evaluation of CF which would be useful at all stages of foresight realization, at first, the authors focused the authors’ attention on identification of main challenges, problem and barriers, which arise during foresight process on the one hand, and exploring success factors and lessons learnt from different case studies on the other hand. On the basis of this literature analysis, the authors have formed a long list of evaluation criteria, which reflect accumulated experience in the field and all-important aspects to make foresight project successful and effective. On the next step, the authors related these criteria with stages of foresight realization and evaluation category. For pilot testing of this methodology, the authors used a case of Russian state-owned corporation.\u0000\u0000\u0000Findings\u0000This paper has presented an integrated approach to the evaluation of CF projects. The logic of the evaluation process of CF at all stages of its implementation is proposed; key evaluation topics (concept, objectives, project team, design of the project, project methodology, stakeholders, implementation, resources, results and its dissemination, effects and impact and barriers) are identified, and the corresponding sets of criteria are formed.\u0000\u0000\u0000Originality/value\u0000The originality of the work lies in using a wide experience of national foresight studies evaluation for corporations. The suggested approach could be used as a framework for CF evaluation. It was tested on the Russian state-owned company RussX.\u0000","PeriodicalId":51620,"journal":{"name":"Foresight","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47989402","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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