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Strategic organizational decision making in today's complex world is a dynamic process characterized by uncertainty. Therefore, diverse groups of responsible employees deal with the large amount and variety of information, which must be acquired and interpreted correctly to deduce adequate alternatives. The technological potential of artificial intelligence (AI) is expected to offer further support, although research in this regard is still developing. However, as the technology is designed to have capabilities beyond those of traditional machines, the effects on the division of tasks and the definition of roles established in the current human-machine relationship are discussed with increasing awareness. Based on a systematic literature review, combined with content analysis, this article provides an overview of the possibilities that current research identifies for integrating AI into organizational decision making under uncertainty. The findings are summarized in a conceptual model that first explains how humans can use AI for decision making under uncertainty and then identifies the challenges, pre-conditions, and consequences that must be considered. While research on organizational structures, the choice of AI application, and the possibilities of knowledge management is extensive, a clear recommendation for ethical frameworks, despite being defined as a crucial foundation, is missing. In addition, AI, other than traditional machines, can amplify problems inherent in the decision-making process rather than help to reduce them. As a result, the human responsibility increases, while the capabilities needed to use the technology differ from other machines, thus making education necessary. These findings make the study valuable for both researchers and practitioners.

Purpose – This paper provides a robust and structured literature review on supply chain resilience (SCRES), the supply chain’s ability to be prepared for unexpected risk events, responding and recovering quickly to potential disruptions to return to its original situation or grow by moving to a new, more desirable state. The purpose of this paper is to analyze the extant research through focussed questions and provide an insightful framework with propositions to guide further publications and identify future research needs. Design/methodology/approach – The findings underlie a systematic literature review methodology requiring a robust method of literature analysis. The sand cone model is adopted to develop a comprehensive SCRES framework. Findings – The literature review reveals a strong need for an overarching SCRES definition and a clear terminology for its building elements. It indicates that most research has been qualitative and lacks in assessing and measuring SCRES performance. Originality/value – This paper contributes a structured overview of 67 peer-reviewed articles from 2003 to 2013 on an emerging area of supply chain research. The review formulates an overarching definition of SCRES, groups and synthesizes the various SCRES elements into proactive and reactive strategies for the ex-ante/ex-post disruption stage and illustrates SCRES measurement through performance metrics. It provides a comprehensive SCRES framework with propositions and indicates gaps in the literature to target for further development.

The concept of “Industry 4.0” is expected to bring a multitude of benefits for industrial value creation. However, the associated risks hamper its implementation and lack a comprehensive overview. In response, the paper proposes a framework of risks in the context of Industry 4.0 that is related to the Triple Bottom Line of sustainability. The framework is developed from a literature review, as well as from 14 in-depth expert interviews. With respect to economic risks, the risks that are associated with high or false investments are outlined, as well as the threatened business models and increased competition from new market entrants. From an ecological perspective, the increased waste and energy consumption, as well as possible ecological risks related to the concept “lot size one”, are described. From a social perspective, the job losses, risks associated with organizational transformation, and employee requalification, as well as internal resistance, are among the aspects that are considered. Additionally, risks can be associated with technical risks, e.g., technical integration, information technology (IT)-related risks such as data security, and legal and political risks, such as for instance unsolved legal clarity in terms of data possession. Conclusively, the paper discusses the framework with the extant literature, proposes managerial and theoretical implications, and suggests avenues for future research.

Organizations face increased pressure from stakeholders to incorporate a plethora of corporate responsibility (CR) and sustainability aspects in their business practices. Legal and extra‐legal demands are dynamically changing; almost no organizational function is unaffected. Owing to the outsourcing wave of the last decade, in particular purchasing and supply management (PSM) plays an ever more important role in assuring sustainable production of the firm's products offered in the marketplace. The supply base of many Western firms has become increasingly global and spend volumes have shifted towards emerging countries. In order to avoid the risk of reputational damage to the buying company, the PSM department must ensure that their international suppliers comply with their corporate codes of conduct and that environmental and social misconduct at supplier premises does not occur. In this paper, “sustainability” refers to the pursuit of the tripartite of economic, environmental, and social performance. We contribute to prior research in the fields of sustainability and CR by extending insights of the dynamic capabilities view to analyze how the PSM function integrates sustainability aspects in its global supplier management processes. Based on four case studies in the chemical industry, we propose that profound sustainable global supplier management (SGSM) capabilities are a source of competitive advantage. These capabilities are path dependent and particularly valuable when organizations are receptive to external stakeholder pressure. Early movers in the field of SGSM reap competitive benefits to a notable extent as a result of resource accumulation and learning processes over time.

Purpose The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined. Design/methodology/approach This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM. Findings The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage. Practical implications This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM. Originality/value This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

Purpose The purpose of this paper is to offer a comprehensive overview of challenges and risks of the Internet of Things (IoT) in supply chain management (SCM) and provide a structured framework for classifying and analyzing the relevant literature to deduce insights for research and practice. Design/methodology/approach A systematic literature review (SLR) of 102 peer-reviewed journal articles on the topic of IoT in SCM was conducted. Findings This review identifies, categorizes and describes the relevant literature regarding the dimensions time and specificity. The resulting framework contains a holistic overview including focus areas and relations of macro-environmental, network-related and organizational challenges and risks. Furthermore, this review represents a conceptual framework for future research, considering the multidisciplinary body of the subject and provides an analysis of the timeline of literature, journals and used methodologies. Practical implications This study offers valuable insights into IoT and its impact on applications, processes and the structure of organizations and supply chains (SCs). The identification of challenges and risks helps to prepare for changes in the future because of the disruptive nature of this technology. Originality/value The originality of this paper lies in the synthesis of the fragmented body of literature of IoT challenges and risks for SCM. The derived framework and identification of relations and research gaps provide the foundation for further research to evaluate the relations between challenges and risks and offer solutions.

The use of logistics outsourcing and the degree of competition in the logistics service industry have significantly increased over the past decade. In order to reach and maintain an important role in such a business environment, logistics service providers (LSPs) have to find ways to achieve competitive advantage. In this regard, the role of flexibility as a potential source of competitive advantage for an LSP is unclear, as empirical research on flexibility in an industrial services context and specifically in logistics outsourcing relationships is lacking. Therefore, using the resource‐based view theory as the theoretical foundation, this study develops a conceptual model of flexibility as a capability of an LSP and its impact on customer loyalty, a central outcome for LSPs in a competitive business environment. Further, taking a relational as well as a knowledge perspective with respect to the antecedents of flexibility, the relational capability collaboration and the knowledge resources supply chain partner insight and communication are integrated into the model. Finally, the relationships of collaboration as a capability with knowledge resources as well as with customer loyalty are considered. This study analyzes 155 logistics outsourcing relationships using a survey method and partial least squares structural equation modeling to empirically assess the proposed relationships. The results reveal that LSP flexibility is a strong driver of all core dimensions of customer loyalty (i.e., retention, extension and referrals) and thus a source of competitive advantage for LSPs. Further, collaboration positively influences LSP flexibility and also the loyalty dimensions, supporting its significant role in a supply chain relationship. Finally, knowledge resources have a positive effect on LSP flexibility as well as on collaboration, indicating the importance of such resources in facilitating crucial capabilities.

Public and academic attention towards sustainably managing companies and corresponding supply chains has been gaining significant momentum in recent years. While extensive literature is available on corporate sustainability and the original equipment manufacturers' (OEMs) downstream supply chains, there is little empirical knowledge concerning why first-tier (FT) suppliers in the upstream supply chain implement sustainability into their supplier selection (SS) processes. However, FT suppliers have a crucial role in ensuring sustainability in upstream supply chains, as they are a key transmitter and often accountable for their OEMs' subsupplier portfolios. Grounded on a cross-case study approach of five FT suppliers, two associations and three non-governmental organizations (NGOs) as well as stakeholder theory, this paper investigates how different stakeholder groups are influencing the integration of sustainability aspects into FT suppliers' SS processes. Therefore, government, NGOs, OEMs and employees are investigated as stakeholder groups. Characteristics, such as FT suppliers' size, legal structure, material criticality, employees' distance to the supply chain function, company culture and industry culture, could be identified as factors that influence the urgency of stakeholders' sustainability claims and thus FT suppliers' perceived sustainability pressure. Moreover, with regard to the OEM stakeholder group, it was found that, depending on the urgency of OEMs' sustainability claims, FT suppliers align their sustainable SS processes to the actions and expectations of different stakeholder groups and thus fulfill the OEM's sustainability expectations to varying degrees. Thus, our study contributes empirical knowledge to this so far underrepresented research field and is moreover beneficial for decision makers.

Global sourcing refers to the integration of decision making across worldwide purchasing units within a multinational corporation (MNC). In order to manage the integration challenge, firms have a number of tools, varying from centralization and formalization to cross‐locational teams. In this paper, we focus on explaining how and why to integrate in different circumstances. The aim of this paper is to complement prior research on global sourcing organizations, which is still rather scarce and more exploratory in nature. By extending the arguments of the information processing perspective of organizations to the global sourcing context, we seek to propel a theoretical discussion on integration in the global sourcing organization. Based on the results of 12 case studies in three MNCs, we propose that integration approaches in global sourcing organizations vary depending on the three contingencies of category characteristics, supply environment characteristics and interdependence of the purchasing units.

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.