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Today's supply chains face increasing vulnerabilities; effective management of disruptions is critical to an organization's ability to weather disruptive events and remain competitive. Contingency planning is a method of risk management that promotes effective crisis management. This research tests proposed antecedents of contingency planning effectiveness in a supply chain setting.

A survey method was used to gather data from 103 participants who are involved in their respective organization's contingency planning and implementation processes. The data were analyzed using partial least squares to examine relationships between contingency planning effectiveness, inter‐organizational information technology (IT) use, cooperative attitude, and inter‐organizational collaboration.

The proposed model explains 87 percent of the variance in contingency planning effectiveness. The findings suggest that inter‐organizational collaboration, inter‐organizational IT use, and cooperative attitude directly impact contingency planning effectiveness. Inter‐organizational collaboration mediates the relationships between the other antecedents and contingency planning effectiveness.

Although effective contingency planning has been shown to influence positive outcomes, the relationship between contingency planning effectiveness and its antecedents is not well understood in extant literature. This study identifies and investigates key antecedents to contingency planning effectiveness and provides a foundation for continued investigation.

Although the importance of establishing sound metrics is often noted in the logistics literature, few research efforts have examined appropriate metrics for reverse logistics (RL) processes. Through the lens of goal-setting theory, the paper identifies and align salient RL goals and metrics, and uncover some of the most common challenges to RL professionals. The paper aims to discuss these issues.

The paper used open-ended questions to gather qualitative data from 84 RL professionals from the defense industry. A content analysis method was employed to extract and categorize the goals, challenges, and metrics for RL processes.

The paper identifies specific categories of goals, challenges and metrics. Several themes emerged from the study, to include customer service, disposition, costs, and process efficiencies. Using these themes, the paper matched goals to metrics and found a lack of uniformity and noted that metrics and goals often were not matched or were misaligned.

This research is limited by the defense industry sample and the research method. Caution should be used when generalizing the results, and further research is required to empirically test the validity of the findings. Nonetheless, in the context of goal-setting theory, the study contributes to the performance metrics literature by aligning RL metrics with goals and addressing challenges faced by RL practitioners. By investigating the topic from multiple perspectives, the study provides more detailed findings and demonstrates the differences between the inbound and outbound RL processes.

This study provides insight into the metrics used to monitor and control RL processes. The findings may help firms to identify shortcomings and choose metrics that they can employ to align RL processes with firm goals.

The study contributes to the performance metrics literature by aligning RL metrics with goals and addressing challenges faced by RL practitioners. By investigating the topic from both an inbound and outbound perspective, the study provides more detailed findings and demonstrates the differences between the inbound and outbound RL processes.

The purpose of this study is to identify the critical components of the reverse logistics (RL) disposition decision‐making process and suggest a decision framework that may guide future investigation and practice.

The authors utilized a problem‐driven content analysis methodology. RL literature from 2000 through 2010 was content analyzed to determine which components may impact a firm's RL disposition decision.

The authors extrapolated seven RL disposition decision components from a compilation of 60 variables identified in the literature. Practical implications and suggestions for future research are offered, and a RL disposition decision‐making framework is presented.

Although methodological techniques were carefully followed, the nature of a content analysis may be subject to author bias. Future investigation and use of the framework presented will verify the findings presented here.

This study identifies seven components that should be considered when deciding which RL disposition alternative should be adopted and integrates these components into a decision‐making framework. Supply chain professionals who refer to this framework during the decision process will benefit from a more comprehensive analysis of potential RL disposition alternatives.

Congruent with recent assertions suggesting that RL research is evolving from an operational‐level focus to a holistic business process approach for maximizing value recovery, this study synthesizes operational‐level research to develop a practical framework for RL disposition decision‐making.

The purpose of this paper is to identify the key issues faced by today's supply chain professionals when managing reverse logistics (RL) processes and compare these issues with the topics examined in extant research. By making such a comparison, the paper identifies areas of practical relevance that are being adequately addressed in the literature, as well as areas that may need further attention.

The paper employed a Delphi method in order to uncover the most salient RL issues faced in industry, as viewed by practitioners. The paper then completed a systematic analysis of the RL literature in order to examine the degree to which topics addressed in the extant literature correspond with the framework proposed by Carter and Ellram (1998). Finally, the paper compared and contrasted the findings of the content analysis and Delphi study, which highlights areas for future investigation that may help to better align research with practice.

In the Delphi study, the paper uncovered and ranked seven key issues for RL managers. These are: customer support, top-management support, communication, costs, formalization, timing of operations, and environmental issues. When compared to Carter and Ellram's (1998) framework, three of the seven factors coincide with factors described in the framework and two factors indirectly relate to the framework. The two factors not specifically represented are costs and formalization.

The findings provide practitioners with an understanding of what factors are most important to consider when managing RL programs. The discussion of the comparison between the Delphi results and extant literature provides guidance as to how to address the RL issues uncovered in this study.

This research effort suggests directions for future research that will better align academic topics with current managerial issues. Although the paper offers many suggestions for future research, the paper proposes that investigating ways to increase formalization of RL programs and establish RL as a profit center within organizations may be the areas in greatest need for additional scholarly research.

Information systems (IS) play a substantial role in managing reverse logistics (RL) processes. However, the RL literature rarely takes a holistic approach to examining the “success” of IS employment. Drawing on the rich literature base from the IS field, the authors explore IS Success theory in the context of RL. Considering Diffusion of Innovation theory, the authors also examine the effect of motivation on IS utilization. In doing so, the authors provide scholars and practitioners with insight into the factors affecting the success of a RL IS. The paper aims to discuss these issues.

Based upon DeLone and McLean's IS Success theory, the authors develop the model to consider information quality, IS utilization, and RL cost effectiveness (as a proxy for net benefits). The authors disaggregate RL into two processes and thus consider the model from two perspectives: the process of receiving returns from customers (inbound) and the process of returning products to suppliers (outbound). The authors survey 136 RL professionals and employ partial least squares modeling for data analysis.

For both inbound and outbound path models, information quality is significantly and positively related to IS utilization; in turn, IS utilization is a significant predictor of net benefits. For inbound, RL goals provide significant motivation to drive IS utilization. For outbound, RL challenges provide significant motivation for IS utilization.

The authors bring IS Success theory into the context of RL. Additionally, by investigating the topic from both inbound and outbound perspectives, the findings suggest differences between inbound and outbound RL processes.

Information technology is a key enabler of logistics performance. Unfortunately, most logistics information systems are implemented with forward logistics processes in mind, with little, if any, consideration for the reverse channel. Informed by task‐technology fit theory, the authors aim to explore how use of complementary information technologies to support reverse logistics processes can lead to enhanced process performance.

The authors use a survey method to gather data from logistics professionals who are positioned within various reverse logistics functions. Using reverse logistics processing effectiveness and reverse logistics cost effectiveness as dependent variables, the authors use multiple regression to examine the relationships between indicators of task‐technology fit and reverse logistics performance.

The authors’ models explain 49 percent and 30 percent of the variance in reverse logistics cost effectiveness and processing effectiveness, respectively. Information technology use and reverse logistics technology innovativeness are shown to enhance levels of reverse logistics cost effectiveness; information system compatibility and reverse logistics technology innovativeness are shown to enhance levels of reverse logistics processing effectiveness.

Although limited by the sample frame, the authors’ findings remain consistent with task‐technology fit theory and suggest that employing information technologies that are designed to complement reverse logistics processes can lead to increased reverse logistics process performance.

This study supports the notion that more attention should be given to reverse logistics processes. In order to achieve maximum return on investment, managers should consider allocating resources toward information technologies and systems that directly support reverse logistics.

This research employs a theory that has seen little attention in the logistics literature to provide insight into how use of complementary information technology can enhance reverse logistics processes.

The purpose of this article is to extend effectuation theory at the front end by building cognitive foundations for the effectual design process.

We adopt an integrative conceptual approach drawing on design cognition theory to explain entrepreneurial cognition.

We find a significant gap in the entrepreneurial cognition literature with respect to effectuation processes. We thus integrate the Situated Function–Behavior–Structure framework from design theory to elaborate on the cognitive processes of effectuation, specifically with regard to the opportunity development process. This framework describes the cognitive subprocesses by which entrepreneurs means and ends are cyclically (re)formulated over time until a viable “opportunity” emerges, and the venture is formalized, or else, the entrepreneur abandons the venture and exits.”

Unravelling this entrepreneurial design process may facilitate more appropriate and effective design work by entrepreneurs, leading to more successful product designs. It also should facilitate the development of better design techniques and instruction.

This research contributes to new cognitive foundations for effectuation theory and entrepreneurial process research. It better explains how means are transformed into valuable goods over time through an iterative reconsideration of means-ends frameworks. This theoretical elaboration will expectedly facilitate additional research into the iterative cognitive processes of design and enable more formulaic design thinking.

Using the family business succession, resourcebased view of firms, familiness, and organizational clan literatures, this article develops a model based on the ability of the family business to use familiness, a specific bundle of attributes deriving from a family’s culture, as a competitive advantage for the family firm. In particular, this resource-based framework of family business shows how familiness can distinguish between family firms that succeed beyond the second generation and those that do not. Implications for future research are discussed.

Firms invest much money in information technology (IT) since IT support has been recognized as a critical enabler of employee outcomes. However, the value obtained by organizations and their employees is not always as much as they anticipated because of, at least partly, a poor relationship between IT staff and users. The purpose of this paper is to apply the social capital theory to examine relationship management between IT and business and explores mechanisms through which social capital between IT staff and users affect users’ employee outcomes, including job satisfaction and job performance.

Based on social capital theory and past literature, the researchers propose a research model and explore the effect of social capital on knowledge sharing, IT users’ perceived service quality, job satisfaction and ultimately job performance. Based on a survey of 289 respondents, this study applies the partial least square technique to test the research model.

Mediation test was performed to explore the effect mechanisms of social capital on employee outcomes, and the results indicate that three dimensions of social capital affect IT users’ job satisfaction and job performance in different approaches.

This study uses social capital theory to direct how to improve the poor relationship between IT staff and users and provides a useful insight into the mechanisms through which three dimensions of social capital improve users’ job satisfaction and job performance.