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The purpose of this paper is to explore the effects that customer structured and unstructured information sharing (IS) can have on customer operational and strategic coordination and on supply chain performance (SCP). In addition, the study examines how customer IS influences customer coordination under various levels of demand uncertainty (DU).

The conceptual model for this study is designed on the basis of information-processing theory (IPT). Using data collected from 622 manufacturers in mainland China and Taiwan, the theoretical model is tested using the structural equation modeling method.

The authors find that both customer structured IS and unstructured IS are positively associated with customer strategic coordination. Customer structured IS increases customer operational coordination, but customer unstructured IS does not. DU positively moderates the relations between customer unstructured IS and strategic coordination, and between customer structured IS and operational coordination. Also, DU negatively moderates the relationship between customer structured IS and strategic coordination. Customer strategic coordination is positively related to SCP and to operational coordination. Customer operational coordination has no significant impact on SCP.

This study deepens our understanding of customer IS by distinguishing between customer structured and unstructured IS. The study also provides a greater understanding of customer coordination by making a distinction between the customer strategic and the operational coordination. The findings extend the empirical application of IPT. In addition, this study’s findings direct SC managers to apply varied customer IS practices that can enhance specific kinds of customer coordination activities, thereby enabling improved SCP.

The purpose of this paper is to use the job demands-resources model to investigate intra-individual engagement-burnout profiles, and demands-resources profiles.

A representative sample of the US workforce was surveyed online. Latent profile analysis (LPA) and configural frequency analysis examined intra-individual profiles and their inter-relations.

A negative inter-individual correlation between engagement and burnout suggested that burnout tends to be lower when engagement is high, but intra-individual analyses identified both aligned engagement-burnout profiles (high, moderate, and low on both variables), and discrepant profiles (high engagement – low burnout; high burnout – low engagement). High engagement and burnout co-occurred in 18.8 percent of workers. These workers reported strong mixed (positive and negative) emotions and intended to leave their organization. Another LPA identified three demands-resources profiles: low demands – low resources, but moderate self-efficacy, low workload and bureaucracy demands but moderate information processing demands – high resources, and high demands – high resources. Workers with high engagement – high burnout profiles often reported high demands – high resources profiles. In contrast, workers with high engagement – low burnout profiles often reported profiles of high resources, moderate information processing demands, and low other demands.

This study examined the intersection of intra-individual engagement-burnout profiles and demands-resources profiles. Previous studies examined only one of these sides or relied on inter-individual analyses. Interestingly, many employees appear to be optimally engaged while they are burned-out and considering to leave their jobs. Demands and resources facets were distinguished in the LPA, revealing that some demands were associated with resources and engagement.

Different forms of strategic flexibility allow for reactive adaptation to different changing environments and the proactive driving of change. It is therefore becoming increasingly important for decision makers to not only possess marketing capabilities, but also the capabilities for strategic flexibility in its various forms. However, our knowledge of the relationships between decision makers' different ways of thinking and their capabilities for strategic flexibility is limited. This limitation is constraining research and understanding. In this article we develop a theoretical cognitive content framework that postulates relationships between different ways of thinking about strategy and different information‐processing demands. We then outline how the contrasting beliefs of decision makers may influence their capabilities to generate different hybrid forms of strategic flexibility at the cognitive level. Theoretically, the framework is embedded in resource‐based theory, personal construct theory and schema theory. The implications for research and theory are discussed.

The purpose of this paper is to investigate how information and communication technology (ICT) impacts firm performance, by changing the information processing ability of a firm.

It takes the firm as information processing unit to coordinate production in an industry with two‐stage production and demand uncertainty. ICT is assumed to improve the information processing ability. It models that, conditional on the structure of markets described by level of uncertainty, a firm with information processing ability comes into being endogenously from market‐coordinated production, with profit generated.

It is argued that the profit of the firm depends on both the structure of markets, and the firm's information processing ability. The improving information processing ability increases firm profitability as long as market‐coordinated production persists elsewhere. However, when the improving information processing ability enables enough firms to compete with no market‐coordinated production left, it decreases profitability of all firms. Finally, case studies on the wholesale and retail industry and the finance and insurance industry of ten OECD countries presents consistent evidence that ICT does not necessarily bring better performance.

This paper is an innovation based on several streams of literature to model a firm with the consideration of specialization, demand uncertainty, and information processing ability. It thus provides a different perspective on how ICT contributes to firm performance. It theoretically and empirically shows that such contributions are conditional on market structure of a certain industry.

The purpose of the paper is to develop a theoretical framework with testable propositions discussing the role of counterfactual thinking in fostering accurate decision-making in groups and preventing catastrophes, being mediated by information searching, sharing, task conflict and conflict management mechanisms, moderated by task complexity, cognitive complexity, cognitive closure and tolerance of ambiguity.

A theoretical framework is formulated and propositions are postulated involving independent, mediating, moderating and dependent variables.

This paper recommends a helpful framework for understanding of how counterfactual thinking affects information searching, sharing and decision-making accuracy in groups, thereby preventing catastrophes.

The proposed framework might be of assistance in managing complex group decision-making and information sharing in organizations. Decision-makers may become aware that activating counterfactual mind-set enables them to search for critical information facilitating accurate decision-making in groups leading to catastrophe prevention.

This paper adds value to the field of counterfactual thinking theory applied to group decision-making. Moreover, the paper provides a novel framework for group decision-making which sheds light on pertinent variables, which can either ameliorate or exacerbate the accuracy of decision-making by information searching and sharing in groups under varying context of high/low task complexity. The ramifications of task conflict, conflict management mechanisms, team diversity and size are explored alongside the moderating role of cognitive complexity, cognitive closure and tolerance for ambiguity.

Although blockchain technology holds significant promise in influencing supply chain resilience (SCR), its effectiveness depends on a variety of factors. However, given that blockchain adoption in SCR is still in its infancy, there is a lack of empirical research to reveal the critical success factors maximizing its efficacy. This study aims to apply an organizational information processing theory (OIPT) perspective to explore how transformational supply chain leadership (TSCL) can facilitate the deployment and connection of blockchain technology to meet the imperatives of enhancing SCR.

This study used a two-wave survey method to gather data from 317 Chinese manufacturers to empirically examine the hypothesized relationships.

The findings suggest that the adoption of blockchain technology enhances both the proactive and reactive dimensions of SCR, and these effects can be realized through the mediating role of TSCL. Furthermore, the positive effect of blockchain technology on TSCL is strengthened in the context of dysfunctional competition.

These findings suggest that companies can only enhance the benefits of disruptive technologies, such as blockchain, by fully integrating them into the operational and supply chain processes.

This research offers novel insights into the specific processes of how blockchain technology can be used to enhance SCR. It also deepens our comprehension of how digital technology can be optimally harnessed within the framework of OIPT, thus providing a contribution to the literature on emerging technologies and SCR.

Drawing on job demands and resources theory and the challenge-hindrance stressor framework, this study aims to investigate the effect of team knowledge complexity on team information sharing and information searching and examine whether team learning goal orientation mediates these effects.

The authors conducted two studies. Study 1 used a field survey study conducted among 374 employees positioned in 68 new product teams. Study 2 used a three-wave online survey study conducted among 208 leaders to investigate the teams they managed.

The findings of the two studies reveal that team knowledge complexity has a positive direct effect on team information sharing and information searching. Furthermore, team learning goal orientation mediates these two relationships.

The findings indicate that team knowledge complexity is generally beneficial for the team information process. Therefore, instead of fearing an increase in the knowledge complexity of the projects, organizations should dare to present challenge demands to team members to enhance their engagement in information processing. Organizations could also pay attention to team member selection during team composition processes. For example, selecting team members with a high level of learning goal orientation is helpful in facilitating team information processing.

Although previous studies have found that knowledge complexity is beneficial for team output, less is known about how knowledge complexity influences team processes. This study clarifies the relationships between team knowledge complexity, information sharing and information searching and examines team learning goal orientation as a vital mediator.

This study aims to investigate sustainable supply chain management (SSCM) through the lens of socio-technical system (STS) theory. Specifically, it examines the individual and synergistic effects of social and technical integration on two main sustainability practices (i.e. sustainable production and sustainable sourcing). Supply chain uncertainty is further explored as a key environmental factor.

A moderated joint effects model was hypothesized. A sample of 759 manufacturing firms was used to test the proposed hypotheses by hierarchical linear regression.

The results show that both social and technical integration have positive effects on sustainable production and sustainable sourcing. Interestingly, social and technical integration have an enhancing synergistic effect on sustainable sourcing, which is further strengthened in high-uncertainty supply chains.

This study extends the application of STS theory in the SSCM setting. It enriches the sustainability literature by uncovering the impact of the interplay among the firm's social, technical and environmental systems on sustainable production and sourcing, and offers system-wide insights for sustainability management.

Technologies change quickly in the automotive industry. This can provide opportunities to firms from emerging economies who try to enter the world stage of automotive production, provided they can react to this more nimbly than established competitors. How technological change affects the supply chain coordination of incumbents from developed economies and new entrants from emerging economies should strongly determine the speed of competitive reaction. By using the example of automotive transmission development, the purpose of this paper is to provide a conceptual model for the analysis and offer research propositions.

The authors build a conceptual model based on information processing theory and offer research propositions based on case study evidence of four automotive original equipment manufacturers (OEMs) and five suppliers.

The authors find symptoms of two larger trends: increasing specialization and technological linkages and a need to increase external supply chain integration beyond traditional structures. Comparing the effects on Japanese and German incumbents, the authors find that increasing external supply chain linkages proves to be harder for Japanese OEMs. Tight links and routines in the Japanese supply chain networks may harm OEM efficiency under the new technological conditions, e.g. the lack of complete part specifications and high demands for customization. Looking at effects on emerging market firms, Chinese OEMs use quasi-open modular production settings in transmission development and lean strongly on inputs from specialized foreign tier-one suppliers. Speed advantages must be weighed against long-term disadvantages of dependence and insufficient R&D investments.

The study explores how technological change affects inter-firm development processes. The authors propose a framework and hypotheses based on information processing theory and link the findings to the discussion on the impact of national institutional context on supply chain coordination.

OEMs wanting to adapt complex existing internal structures to the changing demands for information processing should focus first on improving internal capacities by improving the amount and richness of information flow. Implementing new standards for simultaneous and standardized software development across the supply chain is a key point for this. A second step should be to boost the internal capacity to process higher richness of information, i.e. to understand the meta-knowledge necessary to integrate across technological areas in the development of electronic control units (ECUs).

The authors draw on original interview data in developed and emerging markets and information processing theory to explore the complexity of inter-firm coordination in automotive supply chains.