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The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms.

The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis.

After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk.

This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.

This investigation/report/reflection was motivated largely by the occasion of the first Centre for Social and Environmental Accounting Research (CSEAR) “Summer School” in North America.¹ But its roots reach down as well to other recent reflection/investigation pieces, in particular, Mathews (1997), Gray (2002, 2006), and Deegan and Soltys (2007). The last of these authors note (p. 82) that CSEAR Summer Schools were initiated in Australasia, at least partly as a means to spur interest and activity in social and environmental accounting (SEA) research. So, too, was the first North American CSEAR Summer School.² We believe, therefore, that it is worthwhile to attempt in some way to identify where SEA currently stands as a field of interest within the broader academic accounting domain in Canada and the United States.³ As well, however, we believe this is a meaningful time for integrating our views on the future of our chosen academic sub-discipline with those of Gray (2002), Deegan and Soltys (2007), and others. Thus, as the title suggests, we seek to identify (1) who the SEA researchers in North America are; (2) the degree to which North American–based accounting research journals publish SEA-related research; and (3) where we, the SEA sub-discipline within North America, might be headed. We begin with the who.

The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.

The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.

Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.

This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.

Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.

There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.

This exploratory study aims to explore the operational and financial constraints faced by small and medium enterprises (SMEs) in India during the COVID-19 pandemic. The paper highlights the role of supply chain finance (SCF) in the uncertain business environment caused by the pandemic.

The study adopts an inductive approach and conducts convergent interviews with 32 SME owners and bank officials who are associated with SME-related financial transactions. The analysis of the interview data has been done through a grounded theory approach.

The findings portray four key themes representing the operational and financial constraints faced by SMEs during the pandemic. Further, the study identifies four drivers of SCF adoption among SMEs, including capital constraints, high inventory turnover cycle time, high order fulfilment cycle time and long debtors’ collection period.

The study provides various insights to the managers and owners of SMEs to deal with the economic crisis and eliminate the financial pressure created by the pandemic. The study enlightens the policymakers about the struggles of the SMEs during the economic turmoil created by the pandemic and guides them to introduce the relevant policies to resolve their problems.

To the best of the authors’ knowledge, this is the first study to identify the factors driving the SMEs to adopt SCF due to the economic chaos created by the pandemic. Also, the study theoretically contributes to the literature by developing a theoretical framework for SCF adoption based on grounded theory.

This study aims to map the major research constituents and trends for the Journal of Business and Industrial Marketing (JBIM) during its 34-year history (1986–2019). It also identifies JBIM’s thematic structure and the key factors affecting the impact of its articles.

The Scopus database is used to identify the bibliographic data of JBIM. The most prolific authors, institutions and countries in the journal are analyzed through weighted distributions of articles. The thematic structure of the journal is evaluated by means of bibliographic coupling analysis. The study also examines the factors influencing citations of JBIM articles through regression modeling.

JBIM publishes contributions from around the world, though the most prolific contributors are affiliated with the USA, UK and Finland. Thematic analysis divided JBIM articles into five major themes. Citation analysis reveals that article age, special issue appearance, number of author keywords and number of references are prominent factors explaining an article’s impact.

This study uses data from the Scopus database, and limitations of the database have implications for the findings.

This is the first comprehensive study to identify the thematic structure and the factors affecting citations of JBIM articles.

International Journal of Logistics Management (IJLM) celebrated 30 years of its publication in 2019. This study provides a retrospective overview of the IJLM articles between 1990 and 2019.

The authors applied bibliometrics to study and present a retrospective summary of the publication trends, citations, pattern of authorship, productivity, popularity depicting influence, and the impact of the IJLM, its contributors, their affiliations, and discusses the conceptual layout of IJLM's prolific themes.

With 23 yearly articles, IJLM contributed 689 specialized research papers on Supply Chain Management (SCM) by 2019. Authorship grew by 42 new contributors adding up to 1,256 unique IJLM authors by 2019. Each of its lead contributors associated with 1.55 other authors to contribute an article in the journal among which 93% are cited at least once. Survey-based research dominated in last 30 years. The h-index of the journal is 73 while its g-index suggests that 133 IJLM articles were cited at least 17,689 times in Scopus. IJLM authors affiliated to the Cranfield University and the US contributed the highest count of articles. Bibliographic coupling analysis groups IJLM articles into eight bibliographic clusters while network analysis exposes the thematic layout of IJLM articles.

The literature selection is confined to the Scopus database starting from 1990, a year before the inception of the IJLM, thereby limiting its scope.

This study is the first retrospective bibliometric analysis of the IJLM, which is useful for aspiring contributors.

The Journal of Product and Brand Management (JPBM) has a 30-year long history. To commemorate the journal’s 30th anniversary, this research paper aims to present a retrospective overview of JPBM.

This research examines the performance of the research constituents, social structure and intellectual structure of scholarly publications produced by JPBM between 1992 and 2021 using bibliometric analysis.

This research sheds light on the growing influence of JPBM through four major knowledge clusters (themes): strategic brand management; consumer behavior; product development and innovation management; and brand engagement. A temporal analysis of decade-by-decade cataloguing of the JPBM corpus revealed another set of three distinct knowledge clusters (themes): retailing and pricing strategies; marketing communications; and relationship marketing.

Though the state-of-the-art overview herein offers seminal and useful insights about product and brand management research curated by JPBM, which can be used by the editorial board and prospective authors to curate and position the novelty of future contributions, it remains limited to the accuracy and availability of bibliographic records acquired from Scopus.

This research advances the internal review and subjective evaluation of the evolution of brand management thinking in JPBM by Veloutsou and Guzmán (2017) with an objective retrospection on the performance and scientific evolution of product and brand management research in JPBM.

This paper aims to examine the impact of social capital and self-efficacy in the performance of producer organizations. It also tests the mediating influence of self-efficacy in the relationship of social capital and performance of producer organizations.

The study used data from a survey of 226 members of farmer producer organizations (FPO) in India. The model was tested through structural equation modeling wherein all hypotheses were tested using “R” studio.

The findings reveal that social capital and self-efficacy play a significant role in predicting the performance of FPO. It was found that in the process of social capital influencing the performance of FPO, self-efficacy plays a significant role as a partial mediator with a mediating effect of approximately 69.28%.

The study considered only one antecedent while identifying the reasons for perceived performance of FPOs. Hence, further studies of the various other constructs such as attitude, subjective norms, etc., may be considered.

No previous work has examined the mediating role of self-efficacy in the relationship between social capital and perceived performance of FPO. This study is possibly the only one that joins two streams of thought – social capital and self-efficacy – to examine the performance of FPO.

The pandemic induced lockdown lead to supply and manufacturing disruptions that were swiftly dealt with by the Indian Pharma Industry through successful industry-government collaboration. By May 2020 production was back to normal and exports were higher than the same period in May 2019. The case deals with the processes that enabled this to happen, the policy responses and the changes that happened in the period from March 2020 to August 2020.

The purpose of this paper is to explore the use of chiral single‐walled carbon nanotubes (SWCNTs) as mass sensors. Analysis of SWCNT with chiralities is performed using an atomistic finite element model based on a molecular structural mechanics approach.

The cantilever carbon nanotube (CNT) is modeled by considering it as a space frame structure similar to three‐dimensional beams and point masses. The elastic properties of the beam element are calculated by considering mechanical characteristics of covalent bonds between the carbon atoms in the hexagonal lattice. The mass of each beam element is assumed as point mass at nodes coinciding with carbon atoms. An atomistic simulation approach is used to find the natural frequencies and to study the effects of defect like atomic vacancies in CNTs on the resonant frequency. The migration of the atomic vacancies along the length is observed for different chiralities.

A reduction in the simulated natural frequency is observed with the maximum value occurring, when the vacancy is found nearer to the fixed end. It is quite evident from the simulation results that the effect of vacancies is significant, and the effect diminishes at 10⁻² femtograms mass. Using the higher modes of vibration of SWCNT‐based mass sensors, the amount and the position of the mass on the nanotube can be identified.

CNT have been used as mass sensors extensively. The present approach is focused to explore the use of chiral SWCNT as sensing device with vacancy defect in it. The variation of the atomic vacancies in CNT along the length has been taken and is analyzed for different chiralities. The effects of defect like atomic vacancies in CNTs on the resonant frequency have been analyzed and observed that the maximum reduction in natural frequency occurs when the vacancy is found nearer to the fixed end due to large stiffness variation.