Business Process Management Journal最新文献

Purpose

By combining the notion of prospect theory with advanced machine learning algorithms, this study aims to predict whether financial institutions (FIs) adopt a reactive stance when they perceive climate change as a risk, consequently leading to the adoption of environmental, social and governance (ESG) practices to avoid this risk. Prospect theory assumes that decision-makers react quickly when decisions are framed as a risk or threat rather than as an opportunity.

Design/methodology/approach

We used a sample of 168 FIs across 27 countries and seven regions over the period 2003–2020. To conduct our empirical investigation, we compared the prediction accuracy of various machine learning algorithms.

Findings

Our findings suggest that out of 12 machine learning algorithms, AdaBoost, Gradient Boosting and XGBoost have the most precision in predicting whether FIs react to climate change risk in adopting ESG practices. This study also tested the overall climate change risk and risks associated with physical, opportunity and regulatory shocks of climate change. We observed that risks associated with physical and regulatory shocks significantly impact the adoption of ESG practices, supporting prospect theory predictions.

Practical implications

The insights of this study provide important implications for policymakers. Specifically, policymakers must take into account the risk posed by climate change in the corporate decision-making process, as it directly influences a firm’s adoption of corporate actions (ESG practices).

Originality/value

To the best of our knowledge, this is the first study to investigate the firm-level climate change risk and adoption of ESG practices from a prospect theory perspective using novel machine learning algorithms.

Purpose

Big data capabilities have the potential to completely transform conventional methods of doing business. Nevertheless, the role of big data capabilities in fostering green marketing capabilities and improving green competitive advantage is still not fully understood. To add new knowledge, this paper aims to propose a moderated mediation model to strengthen green competitive advantage in a big data environment. The model introduces both the mediating role of green marketing capabilities and the moderating role of big data capabilities. We developed and empirically tested a moderated mediation model.

Design/methodology/approach

In this study, we have adopted a survey-based methodology. The study collected data from 337 managers and empirically analyzed it to test the theoretical model of moderated mediation. We employed structural equation modeling for empirical analysis.

Findings

The findings revealed that organizational learning improves green marketing capabilities, whereas the relationship between organizational learning and green competitive advantage is insignificant. The mediating role of green marketing capabilities in the relationship between organizational learning and green competitive advantage was statistically significant, indicating that green marketing capabilities serve as a bridge between organizational learning and green competitive advantage. Big data capabilities moderate the relationship between organizational learning and green marketing capabilities. The moderated mediation was also significant, highlighting that big data capabilities further strengthen the indirect effects of organizational learning on green competitive advantage via green marketing capabilities.

Originality/value

This paper delivers theoretical and practical understandings of the importance of organizational learning and big data capabilities. Similarly, it extends current knowledge and provides key insights for managerial decision-making.

Purpose

This research focuses on analyzing the impact of Green Supply Chain Management (GSCM) on the Sustainable Performance (SP) of Spanish wineries, as well as the mediating effect of Green Ambidexterity Innovation (GAI) and the moderating role of Top Management Environmental Awareness (TMEA) on the main relationship posited (GSCM-SP). In addition, age, size and membership in a Protected Designation of Origin (PDO) were used to increase the precision of the cause-effect relationships examined.

Design/methodology/approach

The study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023.

Findings

The results of the research reveal the existence of a positive and significant relationship between the development of GSCM and SP of Spanish wineries, as well as the partial mediation of GAI and the positive moderation of TMEA in this linkage.

Originality/value

The novelty of this study lies in its exploratory approach, as it ventures into new research territory by examining the mediating effect of GAI and the moderating influence of TMEA on the relationship between GSCM and SP, being, to the authors' knowledge, the first research to investigate these specific dynamics.

Purpose

Based on a quantitative investigation, this paper endeavors to examine Industry 4.0 (I4.0) adoption process by studying the impacts of absorptive capacity (AC) and innovative ambidexterity (exploration, exploitation), while also considering the moderating influence of learning capability (LC).

Design/methodology/approach

Data has been gathered through administering questionnaire to 468 managers representing 175 manufacturing firms. Subsequently, PLS-SEM technique has been employed to verify the research hypotheses.

Findings

Study findings reveal that AC is significantly associated with I4.0 adoption and innovation ambidexterity. However, innovation ambidexterity demonstrates partial (only exploration) significant association with the adoption of I4.0. Similarly, the findings indicate that LC acts as a partial moderator between innovation ambidexterity (exploration) and I4.0 adoption.

Research limitations/implications

The study presents significant insights into I4.0 adoption process. The findings may support managers of manufacturing firms to understand and assess the influence of integrating contextual factors facilitating successful adoption of I4.0. The study emphasizes necessity of managers’ awareness regarding the importance of firm’s AC to transform smoothly to I4.0 technologies. In addition to, encouraging the innovation ambidexterity along with LC to enhance the adoption of I4.0.

Originality/value

While researchers demonstrate increasing interest in applying I4.0, concrete evidence to support the I4.0 adoption process is, still, insufficient due to ongoing challenges in digital transformation. Consequently, further research is needed, particularly in exploring how a firm’s ability to realize knowledge and foster innovation contributes to implementing I4.0. This paper seeks to tackle this lack of research by examining the connection between AC, innovation ambidexterity, and LC and the adoption of I4.0 in an emerging economy.

Purpose

Electronic procurement has received primacy as one of the significant reforms to help fight corruption and inefficiencies in the public sector across countries. The purpose of this paper is to examine the effect of electronic procurement adoption on procurement performance. Additionally, the paper examines the moderating role of institutional quality in the relationship between electronic procurement and procurement performance.

Design/methodology/approach

The study applied an explanatory design and a quantitative research approach. Also, the study relied on UTAUT and institutional theory to develop a test research model using 121 responses from public entities in Ghana. Hypothesised paths were investigated using structural equation modelling.

Findings

The findings revealed that electronic procurement adoption positively and significantly affects procurement performance. Also, the findings indicated that institutional quality positively and significantly affects electronic procurement adoption and procurement performance, respectively. Lastly, the findings proved that institutional quality moderates the relationship between electronic procurement adoption and procurement performance.

Research limitations/implications

The study focused on public procurement entities in the Greater Accra Region – Ghana. The study contributes to adopting electronic procurement, institutional quality, and procurement performance literature. The study also extends the UTAUT and the institutional theory to African public entities. The study reechoes the importance of institutional quality in developing economies to enhance electronic procurement adoption.

Originality/value

To the best of the researcher’s knowledge, this is the first study that examines the moderating role of institutional quality in the relationship between electronic procurement adoption and procurement performance.

Purpose

This article explores the connections between the entrepreneur's global mindset and entrepreneurial motivation in the quest for determining the underlying relationships among these constructs. The aim of the study resides in the advancement of various entrepreneurial profiles which imply specific configurations of the global mindset and motivational drivers, by also covering their correlations with the business outcomes.

Design/methodology/approach

Data were collected in 2022 from over 100 entrepreneurs operating in the Romanian SMEs sector, using a questionnaire-based survey.

Findings

The results posit that at least three statistically relevant clusters can be observed in the studied population, stemming from the particularities of the entrepreneurs' global mindset. The findings reveal that the levels of development of the entrepreneur's social capital, psychological capital and intellectual capital are linked to different entrepreneurial motivations and impact the company in specific manners.

Practical implications

The research offers useful cues to the entrepreneurs for identifying prospective partners for their local or cross-border operations.

Originality/value

The results foster a new topical framework for discussion on the motivational configurations of entrepreneurs and the global mindset.

Purpose

This study attempts to examine how employee orientations and paranoid arousal intersect and influence the voice behaviors of employees, as they significantly influence workplace practices.

Design/methodology/approach

Drawing on a multi-source and multi-time-based survey, the data were collected from 37 supervisors and 270 employees in 80 branches of 11 microfinance banks. SmartPLS-4.1 was used to test the measurement and structural model. A total of 307 questionnaires were used for the data analysis.

Findings

This research presents the contrasting results of employee orientations with voice behavior. Results support the direct relationship between paranoid arousal and promotive-prohibitive voice behaviors. However, no support was found for approach-avoidance orientation and promotive-prohibitive voice behaviors.

Practical implications

Employees' ability to voice-out in organizations depends on several motivational factors, consolidated into three areas – organizational culture, leadership, and individual traits. Organizations must implement a culture of transparency and open communication. Participative and inclusive leadership styles increase the quality of relationships with employees, stimulating a promotive voice. A support system for employees is needed to advance in their careers, increasing promotive behaviors.

Originality/value

The study adds value to the existing body of knowledge by studying approach-avoidance orientations and voice behaviors through the lens of paranoid arousal in the framework.

Purpose

This study examines the effects of CLS and DS on companies' WCME and analyses the differences in WCME at company and market levels.

Design/methodology/approach

This study adopts the DEA approach, regression, differences, and additional analyses to achieve its objectives. This study employs 235 non-financial companies and 1,175 company-year observations from eight active industries in the United States from 2016 to 2020.

Findings

The findings indicate that CLS and DS strategies positively influence companies' WCME. Additionally, WCME differed across size categories and industries, with large companies and those operating in the communication services industry showing better WCME. By contrast, WCME did not differ between the periods before and during the COVID-19 pandemic.

Practical implications

This study scrutinizes the impact of CLS and DS strategies on companies' WCME to bridge the gap in this field. It extends the investigation of competitive strategies as explanatory variables for a company's WCME and examines the differences in companies' WCME at the company and market levels, which may assist decision-makers in improving their strategies and efficiencies for continuous improvement.

Originality/value

This study enhances current knowledge by uncovering the influence of CLS and DS strategies on improving companies' WCME, an underexplored topic. It also explores companies' WCME trends and patterns regarding company size, industry type, and the pandemic period to draw interesting conclusions about the essence of WCME.

Purpose

This paper aims to describe the product development process (PDP) of companies in the textile industry, seeking to understand the dynamics of their management from different actors along the production chain.

Design/methodology/approach

Qualitative empirical research adopted a multiple case studies design in five large Brazilian organizations, each representing a link in the production chain.

Findings

Textile PDP follows structured steps. However, it is still an informal process. The use of methodologies and tools for decision-making and control gates throughout the process is limited. Performance indicators do not cover all dimensions of the PDP since sales and profit are the main parameters for assessing projects. The predevelopment macro phase varies according to the product type and the company's business model, whereas the postdevelopment macro phase is nonexistent. PDP projects are executed through collective efforts of multiple departments in cross-functional teams, except for the commodities firms.

Practical implications

The study allows managers of Brazilian textile companies to understand the best practices in the PDP and those that require more attention, taking into account different business models and sectors of the production chain.

Originality/value

Our results contribute to the literature and practitioners by providing an overview of PDP management in the textile industry, covering its different production chain actors, types of projects and companies' characteristics.

Purpose

This paper aims to systematically review the literature on digital supply chain (DSC), big data (BD) and manufacturing lead time (MLT) in industrial companies.

Design/methodology/approach

This study provides a systematic review of the 99 research on this subject that was published between 2015 and 2022. Studies were found in the Scopus database. This review also identifies gaps in the literature, highlights conflicting results, examines prospective data sources for empirical researchers and offers suggestions for choosing promising research subjects in the future.

Findings

This study performed a thorough literature review to a developing field of inquiry in order to identify the impact of the digital supply chain, BD and manufacturing lean time, an area that has received little attention in the literature. Future pathways and ramifications are also offered based on the literature content search. The results showed that BD improves DSC performance through resilience and innovation of the DSC. MLT and DSC integration were found to be positively correlated, according to the results.

Originality/value

Although the production lead time is preferable to boost customer value and supply reliability, the long lead time hurts the DSC’s ability to compete. DSC integration also improves coordination and streamlines processes. The researchers suggest fostering organizational flexibility, information exchange to accomplish DSC integration and adaptable behaviors including responsiveness and alertness.