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Prior research indicates that workplace diversity negatively impacts the job satisfaction and organizational commitment levels of minority workers. This study investigates the impact of age and gender diversity between human resources (HR) professionals and their supervisors on the satisfaction and commitment levels of the professionals.

Data from 279 HR professionals employed by large US manufacturers were collected using a traditional mail methodology and were analyzed using ANOVA.

Neither age differential, gender differential nor age and gender differential interaction were found to impact the job satisfaction and organizational commitment levels of HR professionals.

Although it appears that the number of females and, in particular, female supervisors is under represented in the sample, it is likely that the sample accurately reflects the current status of the manufacturing labor force.

The negative impact on supervisor/subordinate relationships of demographic differences may be mitigated through the implementation of diversity management strategies, such as those adopted by HR professionals.

These unexpected findings may be attributed to the heightened awareness of diversity‐related legislation and regulation on the part of HR professionals. Additionally, HR professionals as a group are likely more attuned to the potential negative impact of workplace diversity and more skilled in applying workplace strategies to minimize the negative impact of such diversity.

In 2004 Lee proposed that successful supply chains must be agile, adaptable, and aligned and described those chains as “Triple‐A” supply chains. The purpose of this paper is to theorize a Triple‐A supply chain performance model that incorporates Triple‐A supply chain status as antecedent to supply chain performance and supply chain performance as antecedent to organizational performance.

Using data from a national sample of 132 supply chain professionals collected in partnership with APICS, the authors develop scales based on descriptive items listed by Lee for the Triple‐A supply chain strategy dimensions of agility, adaptability, and alignment and assess the complete model using a structural equation methodology.

Results indicate that Triple‐A supply chain strategy positively impacts supply chain performance and that, in turn, supply chain performance positively impacts organizational performance. Supply chain performance is more strongly related to the marketing performance than to the financial performance of the organization. Additionally, marketing performance positively impacts financial performance.

The major limitation is that only one person in each organization was surveyed with regards to both organizational and supply chain performance. Future research can be aimed at multiple respondents per organization.

Based on the results of this study, the authors argue that organizational success depends on the agility, adaptability, and alignment of supply chains.

This is the first research which has empirically tested Lee's suggestions; his propositions were based on his extensive supply chain research and experience and reported in the Harvard Business Review. The paper's findings are valuable to both practitioners and academic researchers.

The paper's aim is to theorize and assess a logistics performance model incorporating logistics performance as the focal construct with supply chain management strategy as antecedent and organizational performance, both marketing and financial, as consequences.

Data from a national sample of 142 plant and operations managers are analyzed using a structural equation modeling methodology.

The results indicate that logistics performance is positively impacted by supply chain management strategy and that both logistics performance and supply chain management strategy positively impact marketing performance, which in turn positively impacts financial performance. Neither supply chain management strategy nor logistics performance was found to directly impact financial performance.

To compete at the supply chain level, manufacturers must adopt a supply chain management strategy. Such a strategy requires integration and coordination of key external processes such as purchasing, selling, and logistics with supply chain partners. In this study the focus is limited to the impact of logistics performance on organizational performance within a supply chain context.

As manufacturers work to improve the logistics processes, they support their organization's supply chain strategy, resulting in improved performance for the overall supply chain and ultimately their manufacturing organizations.

Organizational managers are being asked to focus directly on supply chain functions such as logistics to bolster the competitiveness of the supply chains in which their organizations are integral partners. Does such a supply chain focus ultimately result in improved organizational performance? This study provides evidence that a supply chain focus will enhance logistics performance, which will ultimately result in improved organizational performance.

Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator.

The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model.

The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented.

The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

An organizational optimism model is developed and tested. The constructs of optimism subculture and goal setting process are investigated as antecedents to the level of employee optimism and individual and organizational performance are investigated as direct and indirect consequences of the level of employee optimism. Data relating to the constructs were collected from 133 manufacturers and subjected to structural equation modeling analysis. The proposed model fits the data well. Results indicate that managers may improve individual and organizational performance by raising levels of employee optimism and that levels of optimism may be raised through development of an optimism subculture and implementation of a goal setting process.

Supply chain agility (SCA) has recently received considerable attention in the literature and in practice. Despite its popularity, the concept of SCA seems to be vaguely defined and loosely structured. More specifically, definitional ambiguity and conceptual fragmentation have prevented the concept of SCA from reaching its full potential. The time is ripe to address these issues through a systematic literature review.

A review and synthesis of the literature on SCA was undertaken. The authors selected 56 top-tier related articles for further analysis after applying rigorous filtering procedures.

The results of the review confirm that several key themes surround SCA's definition and enablers. In addition, consensus needs to be reached in terms of its performance dimensions and measures. Accordingly, this study constructed an encompassing definition, scrutinized SCA enablers and outcomes and thus developed an original framework for SCA, providing a unique conceptual contribution. Several research directions were also addressed accordingly.

The novelty of this research lies in the selection of highly recognized publications. It also provides an encompassing definition of SCA, consolidates its enablers for better communication and synthesizes its performance implications.

Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation.

The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3.

The results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain.

The present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.

This paper aims to provide a commentary and an overview of developments in the field of humanitarianism that could impact theoretical understanding of agility in humanitarian aid supply chains over the past decade.

Authors review papers published on agility in humanitarian aid supply chains from 2006 to 2015 in the four leading Emerald-published logistics and supply chain management journals. These are: Supply Chain Management: An International Journal (SCMIJ); International Journal of Physical Distribution and Logistics Management (IJPDLM); International Journal of Operations and Production Management (IJOPM); and Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM). This paper presents an overview and update of developments that have the potential to influence current thinking and understanding about agility in humanitarian aid supply chains, and humanitarian aid supply chains in general.

Humanitarianism and the environment of Humanitarian organisations are evolving. Such evolution has potential impacts on theoretical discussions and understanding of agility in humanitarian aid supply chains and humanitarian aid supply chains in general.

This is not a critical literature review but an overview. The paper is based on four logistics and supply chain management journals only. However, the paper is based on the work published over a decade.

Points scholars and practitioners to the impacts of Humanitarian Organisations using the relief-development continuum on supply chain design decisions including the pursuit of agility.

It may be the time to consider the relief-development continuum in fresh light and its implications for agility in humanitarian aid supply chains.

This paper seems to be the first paper that highlights the influence of the relief-development continuum model on humanitarian aid supply chain design strategies.

Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT infrastructure, trained manpower for implementation and maintenance and updating the systems regularly to maintain business competitiveness. Plug and play model offered by cloud ERP has led to a constant creation of large data sets which are structured, semi-structured and unstructured by nature. Thus, there has been a need to analyze such complex data sets and the purpose of this paper is to focus on how cloud ERP and big data predictive analytics (BDPA) will impact the performance of a firm.

A dynamic capability view (DCV) theory-based model was developed and the authors have collected data by using an online questionnaire from India. Thereafter, the authors have analyzed it by employing structural equation modeling.

SEM analysis of 231 respondents showcases that the use of DCV theory to define the relationships of cloud ERP and BDPA has been the right move. Out of the 13 hypotheses empirically tested, only 7 hypotheses were supported by the data.

The study showcases cross-sectional data from India. It would be interesting for this study to see if the country-level differences would influence these relationships between cloud ERP and financial performance, BDPA and financial performance and cloud ERP and BDPA.

This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory.

This study investigates the relationship between buyer-supplier top management team (TMT) demographic misalignment (defined as differences in TMT composition based on background, age and gender) and environmental performance (EVP).

The empirical setting is publicly held US manufacturing firms that are present in both the Kinder, Lydenberg and Domini’s (KLD's) annual EVP ratings and Bloomberg's supply chain database. The study employs panel data regression methods on an unbalanced panel dataset of 7,493 dyad-year observations comprising 427 unique firms.

The research shows that misalignment in functional background and gender composition between TMTs have a negative outcome on both the buyer's and the suppliers' EVP. However, increasing presence of females across TMTs has a positive influence on EVP. Further, the research shows that misalignment based on age between the TMTs does not impact EVP in any significant way. On the contrary, increasing age across TMTs is a significant predictor of EVP.

This study builds on existing works in TMT heterogeneity and adds context to the heightening belief in the positive linkage between heterogeneity and performance through extension to a boundary spanning interfirm context.