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This study aims to comprehensively understand the regulatory landscape and digital transformation (DT) within the banking sector, anchored in the theory of national innovation systems.

Using insights from a comprehensive literature review, an innovative framework is introduced to categorize regulators and digital banking attributes across 88 countries. The study uses k-means clustering to analyze the digital banking and regulatory status of 88 countries, tracing their evolution over two distinct timeframes.

The cross-country analysis spanning 2014 and 2022 reveals compelling trends in regulatory rankings and digital banking across diverse nations. These findings shed light on the dynamic interplay between regulatory environments and technological innovation.

This research contributes to knowledge by establishing a robust framework for understanding regulator dynamics in digital banking across a wide spectrum of countries. It offers valuable insights for academia, practitioners and policymakers by elucidating the complex relationship between the regulatory landscape and DT, shaping discourse and implications in this field, and informing strategic decision-making and policy formulation in the global financial landscape.

Examines the process of managerial learning in a relatively remote rural small‐sized firm. Relational competences and organisational innovation are key to the capture, employment and creation of knowledge and learning within the firm. The case study organisation has created a virtual cluster of innovation, through their supply network, that reaches well beyond the traditional regional institutional support mechanisms. Through this network of relationships, they have enhanced their own learning, facilitated the learning of supplier firms and integrated knowledge to create opportunities for product innovation and development. The paper concludes that these learning experiences indicate policy implications for the support of learning in small firms. To overcome failings in traditional support systems, policy should be directed at the development and maintenance of learning networks. This informal and organisational specific approach to learning and development overcomes some of the barriers to managerial learning in SMEs, and is a method that will address the specific business needs of small firms.

Much prior work involving director incentives and corporate behaviour has been focussing on their absolute dollar value or the intrinsic value and generated mixed findings. Comparison theories, however, suggest that the relative value of an incentive may be the main drive for individual performance. This study attempts to investigate the role of director relative pay in promoting the board’s intervention with unrelated diversification decisions.

The analysis uses data from firms operating in more than one segment during the period from 1999 to 2019. Data were obtained from WRDS databases. Ordinary least squares (OLS) regression analysis and the two-stage system generalized method of moments (GMM) were run to test the hypotheses. To test the robustness of the findings, alternative proxies for the key independent variables were used in separate analyses.

The results support the hypothesis that unrelated diversification negatively impact firm performance, while higher director relative pay will help reduce unrelated business diversification. The absolute director pay, however, has no significant impact on corporate strategic choices. The results also highlight the moderating effect of director overcompensation. Director overcompensation will cancel out the impact of relative director pay on unrelated diversification.

This study takes a fresh theoretical perspective by framing the investigation using the dimensional comparison theory to address the single untended comparison framework in the director pay structure – the intra-individual framework. It is the first to investigate the role of director relative pay in corporate strategic choices. The findings support the contention that the relative value of the incentive is an important indicator of the effectiveness of the pay.

This article examines the differential effects of two types of trust (affect based and cognition based) and two types of feelings (ganqing and jiaoqing) on different knowledge-sharing processes (seeking, transfer, and adoption) among Chinese employees. The influences of these different types of trust and feelings on Chinese employeesʼ propensities to seek, transfer, and adopt explicit and tacit knowledge are also analyzed and discussed. The analysis shows affect-based trust increases knowledge transfer, while cognition-based trust is more important to knowledge seeking and adoption. Affect-based trust alone can facilitate the different processes of sharing explicit knowledge. Effective sharing of tacit knowledge, on the other hand, requires the simul-taneous support from affect-based trust and cognition-based trust. Ganqing and jiaoqing are also important in knowledge transfer and adoption. Either feeling may increase the likelihood to seek, transfer, and adopt explicit knowledge by itself. The influences of both feelings on tacit knowledge seeking, transfer, and adoption hinge on the presence of cognition-based trust.

In 2010 Drive Property Solutions, a special servicing firm in Chicago, had partnered with Spiner Capital to win an FDIC auction of distressed debt. Included in that auction was the defaulted mortgage note on Northwinds Community Crossing, a retail strip mall in suburban Savannah, Georgia, which had been in default since November 2009. Sam Schey, an asset manager at Drive, needed to decide how to maximize recoveries from the nonperforming loan.

This paper seeks to assess the bottom‐line (profitability) impact of information systems support for product innovation at the firm level, based on the current resource‐based view of the competitive role of information systems (IS). The paper also explores the role of firm‐specific information and knowledge that complement IS support for product innovation in moderating the performance impact of the IS support.

Both survey and archival data were used to assess the profitability impact of IS support for product innovation. Data tapping IS support for product innovation and firm‐specific, complementary information and knowledge were collected from a survey of senior IS executives from 760 large companies operating in different industries in the United States. The profitability data were obtained from the Research Insight database. Hierarchical regression analyses were employed to test the research hypotheses.

Providing IS support for product innovation alone did not improve profitability as measured by return on sales and return on assets. Only when complemented by firm‐specific information and knowledge would IS support for product innovation lead to profitability gains. Research limitations/implications – the use of cross‐sectional data collected from single informants and the coarse scales to measure the key variables may limit the usefulness of the research findings.

It is not sufficient for a firm to simply focus on selecting or designing IS that improve the efficiency and effectiveness of its product development process. Rather, the firm and its managers need to pay equal attention to the deployment of firm‐specific information and knowledge resources which would not only facilitate the use and implementation of IS for production innovation, but also make such IS less susceptible to imitation by competitors.

This article provides further evidence for the positive influence of IS‐based product innovation on the bottom‐line performance of firms and uses the resource‐based view of the strategic impact of IS to identify one condition under which such influence may occur. Unlike prior research that gauges the performance effects of IS support for product innovation at the project or department level, this research generates evidence for profitability gains accruing from IS support at the firm level.