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The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency.

Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression.

The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT.

This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements.

The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities.

This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.

The purpose of this study is to investigate the relationship between social media and sensing capability for supply chain management (SCM) from an environmental scanning perspective. The authors consider upstream supply and downstream customer markets as two aspects of social media-enabled environmental scanning (SMES). The moderating effects of three uncertainties are explored.

The data were collected from 178 supply chain professionals through a survey. Generalized estimating equations (GEE) were used to analyze the data.

SMES in both supply and customer markets enhance sensing capability. Interestingly, the results reveal an accelerating effect on sensing by the incremental effort of SMES-supply. However, that of SMES-customer leads to a decelerating outcome for sensing. Also, uncertainties, especially the demand- and technology-related, play a series of interacting effects according to SMES levels.

This research contributes to the literature of operations and supply chains regarding social media strategies and dynamic capabilities. It opens the black box of environmental scanning behavior on social media and adds new knowledge on the dynamic influence of such behavior toward organizational sensing capability for SCM. In addition, further understanding on supply chain uncertainty as a moderator is also strengthened through this research.

This research is the first to empirically uncover the effect of social media on sensing capability for SCM through the lens of environmental scanning. The results support the employment of social networking for improving supply and demand sensing.

Extant research has yielded conflicting results regarding the relationship between adoption of green supply chain management (GSCM) practices and competitive advantage. The purpose of this paper is to further investigate this relationship by examining the case of green reverse logistics (GRL).

Through the lens of diffusion of innovation and resource‐advantage theory, the authors examine whether or not consumers perceive products made via GRL practices to be equivalent to brand‐new products in terms of quality. A survey method is used to gather data from a diverse sample of 533 participants. Data are analyzed via ANOVA to test the hypotheses.

The findings suggest that consumers perceive products made via some GRL practices to be inferior to brand‐new products in terms of quality. However, participants indicated no perceived quality difference between products made with recycled materials and brand‐new products.

The findings suggest that adoption of some GSCM practices may not necessarily lead to competitive advantage, which may inhibit diffusion of GSCM. This study is limited by its focus on just one aspect of competitive advantage. Future studies should examine the relationship between GSCM adoption and other measures of competitive advantage.

Understanding that consumers may perceive products made via some GRL activities as being inferior in quality to brand‐new products, firms wishing to employ GRL may wish to compete on other dimensions, such as low price or service.

This research corroborates previous research findings that suggest adoption of GSCM may not lead directly to competitive advantage. Future research is suggested to continue to build this body of literature.

A comprehensive evaluation of the constructs that contribute to the incorporation of a supply chain innovation into an organization is markedly absent in the literature. Even in academic fields where the post‐adoption diffusion stages of acceptance, routinization, and assimilation are often investigated, no study integrates these constructs and their constituent dimensions into a unified framework. In addition, these post‐adoption activities are largely ignored in the supply chain innovation literature. This paper aims to integrate extant literature regarding acceptance, routinization, and assimilation for the purpose of clarifying the definitions and identifying the dimensions of each construct to provide guidance to scholars who are investigating innovation diffusion in the supply chain.

Through the lens of diffusion of innovation theory, a broad base of literature both within and beyond the scope of traditional supply chain management (SCM) journals is considered to develop a unified framework of post‐adoption activities.

This research effort provides an in‐depth analysis of the post‐adoption stages of the organizational diffusion process and suggests 17 activities that support diffusion. Relationships between and within these stages of the process are inferred to create a unified framework of post‐adoption activities.

The resultant framework provides a reference point for future research. Although providing motivation for this study, this research is limited by the fact that few studies in the SCM literature consider organizational diffusion beyond adoption. The proposed framework is contingent on generalizing literature from related academic disciplines. Future SCM research can validate these findings and further tailor the framework to be more specific to supply chain applications.

This article provides insight for supply chain professionals who seek to not just adopt, but also to fully embed a newly acquired innovation into their organization. Managers can use this article's resulting framework as a reference to determine what actions they should take to fully incorporate an innovation.

Although recognized as an important area of investigation in other literature streams, post‐adoption activities are almost entirely overlooked in SCM research. This study provides both the motivation and a starting point for scholars to consider such activities.

Enterprise architecture (EA) aligns information systems with business processes to enable firms to reach their strategic objectives and, when effectively employed by organizations, can lead to enhanced levels of performance. However, while many firms may adopt EA, it is often not used extensively. The purpose of this paper is to examine how performance expectancy (PE) and training affect the degree to which organizations use EA.

The paper employed a survey method to gather data from IT professionals, senior managers, and consultants who work within organizations that have adopted EA. Covariance-based structural equation modeling was used to analyze the research model and test the hypotheses.

The paper found PE to be a significant predictor of EA use. In addition, training is also shown to enhance use of EA while also playing a mediating role within the relationship between PE and use of EA.

The study is limited by the focus only on training as an intervention. Other mediators and/or moderators such as top management support and organization culture may also play an important role and should be examined in future studies. Nonetheless, the study demonstrates the critical role that training can play in facilitating widespread use of EA within organizations.

Widespread use is a critical success factor for organizations that want to gain the maximum possible benefit from EA. To achieve extensive use, the study suggests that organizations that adopt EA should consider implementing a formal and robust education and training program.

This study extends the research on information technology training by examining the role of training as an intervention within the technology acceptance paradigm. The paper also contributes to the literature regarding post-adoption innovation diffusion by demonstrating the efficacy of organizational training in promoting widespread usage.

The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect the intention to adopt cloud computing as an enabler of electronic supply chain management systems. Specifically, the paper examines the extent to which task uncertainty, environmental uncertainty, and inter‐organizational uncertainty affect intention to adopt cloud computing technology and how information processing capability may moderate these relationships.

The paper uses a multiple method approach, thus examining the hypothesized model with both quantitative and qualitative methods. To begin, the paper incorporates a Delphi study as a way in which to choose a practically relevant characterization of the moderating variable, information processing capability. The authors then use a survey method and hierarchical linear regression to quantitatively test their hypotheses. Finally, the authors employ interviews to gather additional qualitative data, which they examine via use of content analysis in order to provide additional insight into the tenability of the proposed model.

The quantitative analysis suggests that significant two‐way interactions exist between each independent variable and the moderating variable; each of these interactions is significantly related to intention to adopt cloud computing. The qualitative results support the assertion that information processing requirements and information processing capability affect intention to adopt cloud computing. These findings support the relationships addressed in the hypothesized model and suggest that the decision to adopt cloud computing is based upon complex circumstances.

This research is limited by the use of single key informants for both the quantitative and qualitative portions of the study. Nonetheless, this study enhances understanding of electronic supply chain management systems, and specifically cloud computing, through the application of organizational information processing theory. The authors’ mixed‐methods approach allowed them to draw more substantive conclusions; the findings provide a theoretical and empirical foundation for future research in this area, and also suggest the use of additional theoretical perspectives.

This study provides insight that can help supply chain managers to better understand how requirements, when coupled with capabilities, may influence the decision to adopt cloud computing as an enabler of supply chain management systems.

As an emerging technology, cloud computing is changing the form and function of information technology infrastructures. This study enhances the understanding of how this technology may diffuse within the supply chain.

The purpose of this study is to examine the complex relationships between transformational leadership, organizational innovativeness, and motor carrier performance.

A covariance‐based structural equation model was developed, tested and validated to explain the effect of leadership style and innovativeness on motor carrier performance. The authors’ hypotheses were tested using responses from 158 North American motor carriers.

The results support a direct as well as an indirect positive relationship between transformational leadership and organizational performance. Through the theoretical lens of dynamic capabilities theory, the results indicate that leaders motivate organizational change based on their own idiosyncrasies and perceptions of the environment.

This research was limited by its focus on the motor carrier industry and may limit the generalizability of the findings. While the sample of motor carriers was selected at random, the individuals within each of the organizations were purposively selected based on their positions.

The results indicate that the proactive leader who makes calculated changes is likely to chart a course towards enhanced organizational innovativeness and performance that may provide the firm with a sustained competitive advantage.

This is one of the few works investigating leadership style and innovativeness in the motor carrier industry.

This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.

The theoretical framework was proposed for the study on the basis of existing literature. Data for the study was collected with the help of structured questionnaire from 121 executives and officers of the public food distribution agency. Partial least square (PLS)–structured equation modeling was employed to test the framework and hypotheses.

The results indicate that ICT and SCM practices (logistics integration and supplier relationships) have a significant relationship. Furthermore, SCM practices (information sharing, supplier relationship and logistics integration) have a significant and positive impact on performance of the organization.

Further research could be carried out to test the moderation effect of SCM practices between ICT and organizational performance (OP). Extending the research study to the companies operating in other sectors can enhance the external validity of the study and improve the accuracy of parameters examined.

This study can be of interest to the agri-food industry as well as other industry practitioners interested in improving the performance of the organization from the view of supply chain.

The outcomes of this study have important implications that translate into a series of recommendations for the management of public food distribution as well as other agri-food-based supply chains.

This study aims to determine the probiotic potential of Lactobacillus rhamnosus GR-1 from Fiti sachets, in four widely consumed pulses, namely, black-eyed pea, pigeon pea, kabuli chickpea and desi chickpea. The secondary objective was to determine the viability of the fermented pulses during 21 days of storage at 4°C.

Each pulse sample was mixed with a Fiti sachet (one gram of freeze-dried consortium of Lactobacillus rhamnosus GR-1 and Streptococcus thermophilus C106) and fermented for up to 120 h. To assess the samples’ storage potential, they were refrigerated at 4°C for 21 days. Microbial enumerations and pH measurements were collected during fermentation and storage to determine the viability and fermentation potential of Lactobacillus rhamnosus GR-1 and Fiti, respectively.

There was a significant (p = 0.01) difference in mean microbial counts in all pulse samples throughout fermentation. At 24 h of fermentation, the mean bacterial count of Lactobacillus rhamnosus GR-1 in black-eyed pea, pigeon pea, kabuli chickpea and desi chickpea were 1.32 × 10⁹ ± 0.11, 1.01 × 10⁹ ± 0.16, 1.52 × 10⁹ ± 0.14 and 0.80 × 10⁹ ± 0.05 CFU/mL, respectively. Fermentation of pigeon pea, kabuli chickpea and desi chickpea at 48 h yielded the highest bacterial count for Lactobacillus rhamnosus GR-1 while black-eyed pea reached its highest bacterial count at 72 h of fermentation. The bacterial concentration of all pulse samples remained at around 10⁹ CFU/mL during the refrigeration period of 21 days at 4°C. Furthermore, the pH of all pulse samples were below 4.6 during both fermentation and refrigerated storage.

Since 2004, the Fiti initiative has economically empowered hundreds of women in East Africa by teaching them how to produce and sell probiotic yogurt containing Lactobacillus rhamnosus GR-1. As a result, Fiti probiotic yogurt was made accessible to vulnerable populations in East Africa who face malnutrition, infectious diseases and environmental toxins. Because of recent climatic changes, milk has become more expensive and inaccessible for local communities. Furthermore, this study found that black-eyed pea, pigeon pea, kabuli chickpea and desi chickpea can be viable and non-diary probiotic alternatives to the Fiti probiotic yogurt in Eastern Africa. This is also the first study of its kind to provide preliminary evidence showing pulses as non-dairy alternatives to Fiti probiotic yogurt.