Article row 3 by Md Afnan Hossain, Shahriar Akter, Venkata Yanamandram, Samuel Fosso Wamba
Publised in Technological Forecasting and Social Change

This study’s objective is to investigate how a business can achieve data-driven market effectiveness through the sustained application of a customer analytics capability to its operations.

Despite the abundance of literature on retail technology management, empirical evidence on the effectiveness of a customer analytics capability in promoting sustainable market performance within retail business operations remains scarce.

This study presents a model of a sustained customer analytics capability in the context of competitive, data-rich retail business processes, drawing on grounded market orientation capability theory. The study employs a taxonomy of explanation and prediction from an epistemological perspective, employing predominantly positivist methods, where data analysis validates the conceptual customer analytics capability and its sustained critical outcomes.

In addition, the study discusses the significant contributions of its findings regarding the acceleration of retail business operational performance in a big data environment and also provides future research directions to resolve any limitations of the current study.

Article row 3 by Oscar Rodríguez-Espíndola, Prasanta Dey, Pavel Albores, Soumyadeb Chowdhury
Publised in Annals of Operations Research

When managing crises and disasters, decision-makers face high uncertainty levels, disrupted supply chains, and damaged infrastructure. This complicates delivering resources that are essential for the survival of the victims. Flexible and adaptable supply networks are needed to ensure a consistent flow of relief to the areas affected by disasters.

Intermodality is a valuable approach when infrastructure is damaged, as it allows the use of different delivery modes to reach demand areas. Nevertheless, involving different transportation modes has an impact on the environment. Looking at the importance of helping victims and considering the environmental impact of humanitarian operations for long-term sustainability, intermodality and carbon emission reduction measures can be an interesting combination.

This area, however, is currently understudied. This article introduces a two-stage stochastic formulation to fill that gap. The model addresses facility location, resource allocation, and intermodal relief distribution considering carbon emission reduction in facilities, intermodal activities, and distribution. The formulation minimises costs and the level of shortage of relief. The model is tested using a case study in Sinaloa, Mexico, to investigate the impact of intermodality and carbon emission reduction measures on costs and shortage of relief for disaster victims.

The findings confirm that the model proposed allows for the diversification of transportation modes and reduces carbon emissions whilst achieving a good level of performance in both metrics. The comparison with a benchmark model without intermodality and carbon reduction measures suggests that the formulation can increase flexibility and reduce the level of CO2 emissions whilst maintaining high satisfaction rates.

Article row 4 by Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood, Herman Aguinis, Greg J. Bamber, Jose R. Beltran, Paul Boselie, Fang Lee Cooke, Stephanie Decker, Angelo DeNisi, Prasanta Kumar Dey, David Guest, Andrew J. Knoblich, Ashish Malik, Jaap Paauwe, Savvas Papagiannidis, Charmi Patel, Vijay Pereira, Shuang Ren, Steven Rogelberg, Mark N. K. Saunders, Rosalie L. Tung, Arup Varma
Publised in Human Resource Management Journal

ChatGPT and its variants that use generative artificial intelligence (AI) models have rapidly become a focal point in academic and media discussions about their potential benefits and drawbacks across various sectors of the economy, democracy, society, and environment. It remains unclear whether these technologies result in job displacement or creation, or if they merely shift human labour by generating new, potentially trivial or practically irrelevant, information and decisions.

According to the CEO of ChatGPT, the potential impact of this new family of AI technology could be as big as “the printing press”, with significant implications for employment, stakeholder relationships, business models, and academic research, and its full consequences are largely undiscovered and uncertain. The introduction of more advanced and potent generative AI tools in the AI market, following the launch of ChatGPT, has ramped up the “AI arms race”, creating continuing uncertainty for workers, expanding their business applications, while heightening risks related to well-being, bias, misinformation, context insensitivity, privacy issues, ethical dilemmas, and security.

Given these developments, this perspectives editorial offers a collection of perspectives and research pathways to extend HRM scholarship in the realm of generative AI. In doing so, the discussion synthesizes the literature on AI and generative AI, connecting it to various aspects of HRM processes, practices, relationships, and outcomes, thereby contributing to shaping the future of HRM research.

Article row 4 by Maciel M. Queiroz, Samuel Fosso Wamba, Rakesh D. Raut, Ilias O. Pappas
Publised in British Journal of Management

Business models for sustainability (BMfS) enable organizations to create social and environmental value for a wide variety of stakeholders. As BMfS are new for well-established industries, their implementation requires deep organizational change to overcome path dependencies of existing business models. In this article, we present a framework which outlines the organizational change process involved in BMfS development. The framework shows that organizations can experiment with novel configurations of value, resources, and transactions, and follow discursive and cognitive pathways to enable BMfS legitimization and implementation. Although the value, resources, and transactions levers can be used either separately or in concert, discursive and cognitive pathways are most powerful when pursued together. We use our framework to highlight the contributions of the articles in the special issue and to propose new directions for BMfS research. We argue that future research should investigate the impacts of BMfS on the sustainability challenges they seek to address.

Article row 3 by C. THEODORAKI, D. B. AUDRETSCH, D. CHABAUD
Publised in Review of Entrepreneurship

Over the past 15 years the literature on entrepreneurial ecosystems has emerged as important and compelling. This article reviews the literature at the intersection of entrepreneurial ecosystems and place in order to identify what is known and what is not known about the role of place in entrepreneurial ecosystems. This article sheds light on the definitions, methodologies, typologies, challenging and crisis contexts prevalent in the entrepreneurial ecosystem literature. It then introduces the six papers selected for the special issue and synthesizes their contribution with regards to future directions of entrepreneurial ecosystem research. This article concludes by highlighting the advances, gaps, and research directions towards a better understanding of the importance of research linking entrepreneurial ecosystems to place.

Article row 3 by J. PINKSE, F. LÜDEKE-FREUND, O. LAASCH, Y. SNIHUR, R. BOHNSACK
Publised in Organization and Environment

Business models for sustainability (BMfS) enable organizations to create social and environmental value for a wide variety of stakeholders. As BMfS are new for well-established industries, their implementation requires deep organizational change to overcome path dependencies of existing business models. In this article, we present a framework which outlines the organizational change process involved in BMfS development. The framework shows that organizations can experiment with novel configurations of value, resources, and transactions, and follow discursive and cognitive pathways to enable BMfS legitimization and implementation. Although the value, resources, and transactions levers can be used either separately or in concert, discursive and cognitive pathways are most powerful when pursued together. We use our framework to highlight the contributions of the articles in the special issue and to propose new directions for BMfS research. We argue that future research should investigate the impacts of BMfS on the sustainability challenges they seek to address.

Article row 3 by F. DERRIEN, A. GAREL, A. ROMEC, J.-P. WEISSKOPF
Publised in Journal of Financial and Quantitative Analysis

We explore the effects of online customer ratings on financial policy. Using a large sample of Parisian restaurants, we find a positive and economically significant relationship between customer ratings and restaurant debt. We use the locally exogenous variations in customer ratings resulting from the rounding of scores in regression discontinuity tests to establish causality. Favorable online ratings reduce cash flow risk and increase resilience to demand shocks. Consistent with the view that good online ratings increase the debt capacity of restaurants and their growth opportunities, restaurants with good ratings use their extra debt to invest in tangible assets.

Article row 3 by C. LEYRONAS, S. LOUP
Publised in Journal of Knowledge Management

Understanding the value of creation processes for entrepreneurs in an entrepreneurial ecosystem remains a significant challenge. Entering the black box of the ecosystem and adopting the entrepreneur’s perspective is thus essential The Resource-Based framework combined with a multi-level analysis allows for the identification and analysis of value based on the entrepreneur’s interactions with their ecosystem and other companies within it, in terms of both resources and capabilities.

Article row 4 by B. LEE, S. MISRA, C. HAON
Publised in Journal of the Academy of Marketing Science

Although fostering innovativeness has long been one of the most important concerns for marketing theory and practice, CEOs continue to identify the lack of an innovation culture as one of the main obstacles they must overcome. Corporate culture permeates from the top of the corporate hierarchy. Therefore, the role of the corporate board can be critical for nurturing an innovation culture and thus stimulating innovativeness inputs. As marketing training and orientation emphasize innovation to create customer value and drive growth, marketing-experienced board members (MEBMs) can be particularly instrumental in fostering innovativeness inputs through their direction and counseling. Therefore, in this paper, we investigate whether the marketing expertise and information brought by MEBMs contribute to firm innovativeness inputs. Furthermore, based on the governance literature, we identify three specific CEO job characteristics that influence a CEO’s information processing capacity and ability to implement strategies based on that information, thus enhancing MEBMs’ effectiveness in fostering innovativeness. Analysis of a large representative dataset reveals that marketing expertise brought by MEBMs increases firm innovativeness inputs and that CEO risk-taking incentives, insider CEO, and CEO duality enhance MEBMs’ effectiveness in fostering innovativeness inputs. The results highlight the value of having marketers on the corporate board and the importance of their counsel to CEOs.

Article row 3 by C. CANTA, A. NILSEN, S. A. ULSAKER
Publised in Journal of Empirical Finance

This paper studies empirically the relationship between competition and risk taking in banking markets. We exploit an unique dataset providing information about all bank loans to Norwegian firms over several years. Rather than relying on observed market shares, we use the distance between bank branches and firms to measure the competitiveness of local markets. The cross-sectional and longitudinal variation in competition in local markets are used to identify the relationship between competition and risk taking, which we measure by the non-performing loans and loss provision rates of the individual banks. We find that more competition leads to more risk taking. We also examine the effects of bank competition on the availability of loans. More competition leads to lower interest rates and higher loan volumes, but also makes it more difficult for small and newly established firms to obtain a loan.