Search results

This study aims to identify necessary conditions for innovative entrepreneurship in cities and determine similarities in entrepreneurial configurations among them.

The authors assessed the necessary conditions for various levels of entrepreneurial output and categorized cities based on similar patterns by applying necessary condition analysis (NCA) and cluster analysis in a sample comprised of 101 cities from the entrepreneurial cities index, representing a diverse range of urban environments in Brazil. A comprehensive data set, including both traditional indicators from official Bureau of statistics and nontraditional indicators from new platforms of science, technology and innovation intelligence, was compiled for analysis.

Bureaucratic complexity, urban conditions, transport infrastructure, economic development, access to financial capital, secondary education, entrepreneurial intention, support organizations and innovation inputs were identified as necessary for innovative entrepreneurship. Varying levels of these conditions were found to be required for different entrepreneurial outputs.

The static nature of the data limits understanding of dynamic interactions among dimensions and their impact on entrepreneurial city performance.

Policymakers can use the findings to craft tailored support policies, leveraging the relationship between city-level taxonomy and direct outputs of innovative entrepreneurial ecosystems (EEs).

The taxonomy and nontraditional indicators sheds light on the broader societal benefits of vibrant EEs, emphasizing their role in driving socioeconomic development.

The cluster analysis combined with NCA’s bottleneck analysis is an original endeavor which made it possible to identify performance benchmarks for Brazilian cities, according to common characteristics, as well as the required levels of each condition by each city group to achieve innovative entrepreneurial outputs.

The purpose of this study is to examine the influence of moral intensity on the ethical decision-making process of professional accountants based on a combined importance-performance map analysis (cIPMA).

Using partial least squares structural equation modeling (PLS-SEM) on data from 309 accountants, the study examined the relationships between four moral intensity dimensions: magnitude of consequences, social consensus, probability of effect and concentration of effect, and the ethical decision-making process. The study also methodologically complemented by a combined importance-performance map analysis and necessary condition analysis.

The findings reveal that moral recognition and moral judgment are necessary conditions for predicting accountants’ moral intent. However, in terms of importance and performance, moral recognition plays a less significant role compared to moral judgment. Furthermore, the influence of moral intensity dimensions is pronounced on moral recognition, while their influence on moral judgment and moral intent is more context dependent. This is also exhibited in the combined importance-performance map analysis results.

The study highlights the importance of considering specific ethical dilemmas and the differential influence of moral intensity when developing strategies to strengthen ethical decision-making in the accounting profession. Future research is encouraged to explore how cultural backgrounds and diverse settings influence accountants’ ethical decision-making with tailored measurement tools for a more comprehensive understanding.

To the best of the authors’ knowledge, the study is among the first to complement the results of PLS-SEM with importance-performance map analysis and necessary condition analysis to examine the relationship between moral intensity and ethical decision-making of accountants.

The goal is to illuminate the requisites for the implementation of performance management reforms in a public bureaucracy.

The paper employs a configurational approach, qualitative comparative analysis, that identifies combinations of political and organizational conditions necessary and/or sufficient for success. The analysis applies the success factor identified in the literature in analyzing the experience of departments involved in a city-wide reform in Los Angeles. The analysis utilizes two rounds of survey data combined with case observations to evaluate the presence of these conditions. Cross-case comparisons employ Boolean logic to identify configurations associated with successful system implementation.

The analysis identifies several distinct configurations of conditions that appear in departments that implemented the reform. One emphasizes mayoral support, while others emphasize leadership in combination with other organizational capacities.

The analysis yields several insights for managers. First, no silver bullet such as strong leadership assures reform implementation. Second, there are multiple avenues to reform. An organization that lacks some prerequisites – such as leadership or metrics – may succeed in the presence of other features such as an innovative culture or external political support. Finally, the study provides a bracing council that even under favorable conditions, performance management reforms may fail to take root, for reasons that can be difficult to predict.

The paper highlights the importance of considering configurations of conditions rather than focusing on conditions independently. Also, it highlights the importance of equifinality, the notion that observed outcomes can have multiple causes, a perspective typically missing in correlational analyses.

This paper aims to explain the causal complexity between ecosystems of doing business and living standards based on the theoretical model of the ecosystem of doing business proposed by Li (2019) and Du et al. (2020). By integrating ecological theory, transaction cost theory and institutional logics theory, this study explored effective ecosystems of doing business that achieve high living standards and explained the interpretive mechanisms behind different ecosystems of doing business. Moreover, this study also analyzed whether there were any necessary elements that lead to high living standards and discussed how the interactions between these elements influence carrying capacity and transaction costs from government logic and market logic, thus affecting living standards.

In this study, fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) were combined to analyze the data from the 2020 China City Statistical Yearbook, covering the main socioeconomic statistical data of cities at all levels in 2019.

This study found that no individual factor of the ecosystems of doing business was necessary to achieve high living standards, but the high level of human capital, innovation capacity, financial access and market demand play a significant role in achieving high living standards. Furthermore, two effective types of ecosystems of doing business lead to high living standards, namely, market dominance (government’s “invisible hand” or “nudging hand”) and government–market logic mutualism/symbiosis (government’s “helping hand”).

First, this work found that individual elements were not a necessary condition for high living standards, not only in kind but also in degree, complementing fsQCA with NCA, which indicates that environmental elements can be substituted by others. Second, this study considered the complex effects and explained the mechanisms behind different ecosystems of doing business, drawing on ecological theory, transaction cost theory and institutional logics theory from a configurational perspective. This study deepened the theories’ applications in the field of living standards and further discussed the elements interactions. Third, this study introduced configurational perspective and QCA into living standards research and adopted a mixed method that combines fsQCA and NCA to analyze the causal complexity between ecosystems of doing business and people’s living standards.

Trust is the glue that holds cooperative relationships together and often exists in an asymmetric manner. The purpose of this study is to explore how to mitigate the issue of losses or increased transaction costs caused by opportunistic behavior in a soft environment where trust asymmetry is quite common and difficult to avoid.

This study focuses on examining asymmetric trust between the government and the private sector in public-private partnership (PPP) projects. Drawing upon both project realities and relevant literature, the primary conditional variables influencing asymmetric trust are identified. These variables encompass power perception asymmetry, information asymmetry, interaction behavior, risk perception differences and government-side control. Subsequently, through the use of a survey questionnaire, binary-matched data from both the government and the private sector are collected. The study employs fuzzy-set qualitative comparative analysis (fsQCA) to conduct a configurational analysis, aiming to investigate the causal pathways that trigger asymmetric trust.

No single conditional variable is a necessary condition for the emergence of trust asymmetry. The pathways leading to a high degree of trust asymmetry can be categorized into two types: those dominated by power perception and those involving a combination of multiple factors. Differences in power perception play a crucial role in the occurrence of high trust asymmetry, yet the influence of other conditional variables in triggering trust asymmetry should not be overlooked.

The findings can contribute to advancing the study of trust relationships in the field of Chinese PPP projects. Furthermore, they hold practical value in facilitating the enhancement of trust relationships between the government and the private sector.

High-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.

This paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.

The findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.

This study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

This research examined the influence of the service attribute components of a smart automated coffee vending machine on the enjoyment and choice behaviour of customers from the perspective of the Stimulus-Organism-Response paradigm.

To gain an improved understanding of the influential factors that can yield the desired study outcomes, this research employed sufficiency logic and necessity logic to provide insights and practical implications for research.

While this study identified “special benefits” as a sufficient factor to induce both enjoyment and choice behaviour, “interactive experience” and “ease of use” were found to be the fundamental factors for achieving these two desirable outcomes.

This research extends beyond the conventional approach of symmetric analysis by incorporating necessary condition analysis to explore the essential conditions necessary for enjoyment and choice behaviours during automated-vending-machine consumption. The smart feature, highlighted by the ‘interactive experience,’ is revealed as one of the necessary factors in fostering enjoyment and influencing consumer choice of beverages from smart automated vending machines.

The article explores which configurations of organizational and individual conditions support the purposeful use of performance information in the public sector. Prior research has predominantly focused on the effects of individual factors without paying as much attention to how these factors interact to influence public managers’ attitudes to integrating performance information into their decision-making.

The study employs a fuzzy-set qualitative comparative analysis (fs-QCA) to examine the different combinations of organizational and individual drivers that facilitate purposeful performance information use.

Goal clarity is a necessary but insufficient condition for purposeful information use. It needs to be complemented by a mature performance management system, public managers with prosocial motivation who engage in extra-role behaviours within a non-innovative organizational culture, or a developmental culture that motivates managers who are unaware of the social impact generated by their work.

The case selection does not allow for direct generalizations. Future studies could replicate the configurational analysis in different countries and sectors and introduce additional environmental, organizational, and individual conditions.

The study suggests the need to integrate actions that support the purposeful use of performance information and define clear departmental goals. Although the latter is a necessary condition, it needs to be supported by other organizational and individual factors.

The study deepens the theory of the drivers of purposeful performance information use in the public sector by adopting a configurational approach and exploring how organizational and individual conditions interact to foster information use.

The development of an effective corporate vision is a necessary issue for corporate performance, and it is a key issue for corporate sustainable development as well. The recognition of questions like “what is the role of corporate vision in corporate performance” is directly related to the attitude and practice of entrepreneurs and managers toward the development of corporate vision as well as the effectiveness of the corporate vision itself. To better answer the questions concerning the role of corporate vision development and effectively guide the practice of corporations, the authors study the pathways and mechanisms by which corporate visions operate to assist businesses in achieving high performance.

The article completes the construction of indicators to measure each dimension of the corporate vision in line with social cognitive theory and analyzes the relationship between corporate vision and corporate performance by combining qualitative comparative analysis (QCA) and necessary condition analysis (NCA) research methods. The article provides insights into the logic of constructing and adjusting corporate visions from a process perspective.

The mechanisms by which corporate visions can be articulated, accepted and transformed within the organization are also the means by which corporate visions can improve corporate performance. In a dynamic environment, the corporate vision setting and acceptance process integrates the requirements of various stakeholders, leading to the adjustment and acceptance of the corporate vision. As a result, the vision has continuous validity in a changing environment. Both start-ups and non-start-ups can benefit from the guidance provided by a strong corporate vision in overcoming a variety of issues and obstacles to produce strong business performance.

This is the first study that shows the relationship between corporate vision and corporate performance from a process perspective. The authors are interested in understanding which characteristics for building a corporate vision are more accepted by organizational members and, in turn, create high corporate performance. The authors also explore the conditions for corporate vision acceptance. This research has positive implications for shedding some light on the mechanisms by which corporate visions improve corporate performance.

Despite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.

A mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.

The TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.

The four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.

The inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.