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Statistical modeling has been successfully applied to integrated circuit (IC) solder joint inspection. However, there are some inherent problems in previous statistical modeling methods. This paper aims to propose an adaptive statistical modeling method to further improve the inspection performance for IC solder joints.

First, different pixels in the IC solder joint image were modeled by different templates, each of which was composed of the hue value of the pixel and a proposed template significance factor. Then, the potential defect image was obtained by adaptive template matching and the potential defect threshold for each pixel. It was noted that the number of templates, matching distance threshold, potential defect threshold and updating rate were adaptively updated during model training. Finally, the trained statistical model was used to inspect the IC solder joints by means of defect degree.

Experimental results indicated that the proposed adaptive schemes greatly contributed to the inspection performance of statistical modeling. Also, the proposed inspection method achieved better performance compared with some state-of-the-art inspection methods.

The proposed method offers a promising approach for IC solder joint inspection, which establishes different numbers of templates constructed by pixel values and template significance factors for different pixels. Also, some important parameters were adaptively updated with the updating of the model, which contributed to the inspection performance of the model.

Employees’ creativity is critical for the growth and survival of firms. Therefore, the purpose of this study is to propose a motivational model of creativity to address the effect of an autonomy-supportive climate on employee creativity. This study investigates whether this effect is mediated by intrinsic motivation in employees and depends on company support for creativity.

This study used a quantitative approach to collect data by conducting a survey in a developing country using paper-based questionnaires. From 220 questionnaires distributed, 151 usable survey responses were gathered for this study. In addition, structural equation modeling was used to test the hypothesis.

The results suggest a motivational contingent path through which employees’ creativity would be promoted. The findings indicate that employees in autonomy-supportive climates are more intrinsically motivated and more creative only when the company supports creativity.

The findings suggest that managers should provide employees with an autonomy-supportive climate. Furthermore, rewarding, recognizing and encouraging creativity in employees should be considered by companies.

This research integrates Amabile’s (1996) model of creativity and basic needs theory to empirically shed light on the inconsistent findings of the mediating role of intrinsic motivation in the relation of contextual factors to creativity. This study extends Amabile’s (1988) model to include an autonomy-supportive climate and explain how and when this kind of interpersonal climate contributes to enhanced creativity in employees. This research contributes to the basic needs theory by demonstrating that satisfaction of basic needs can also enhance creativity. The findings also add to the interactionist perspective of creativity because this study examines the interaction effect of company support for creativity and intrinsic motivation.

Aligning business innovation with the sustainable development goals (SDGs) creates immense opportunities to solve societal challenges along with business growth and productivity. This study aims to understand the evolution of Fortune firms' strategic addressing of SDG on social media as a step towards post-pandemic recovery. Using attribution theory as a theoretical lens, the authors try to investigate how entrepreneurial orientation (EO) and SDG orientation evolve with the crisis and affect the appreciation and advocacy of the SDG-related posts.

A mixed methodology of machine learning and Social media analytics such as content analysis, sentiment analysis and space–time analysis have been used, followed by multivariate analysis to validate the findings.

An evolution in CEOs’ strategic focus surrounding SDG dimensions was found, from economic in pre-pandemic phase to social and environment during the pandemic. The SDG disclosure on social media by the Fortune CEOs seems to have an influence on their social media reputation, whereas EO has no impact on social media reputation.

Wise practice of EO in information diffusion by CEOs on social media may lead to a healthy relationship with the stakeholders and better firm performance. The SDG adoption at organisation level contributes towards a sustainable society and helps tackling the challenges faced during the pandemic.

This study analyses the contribution of the Fortune firms to achieve a sustainable society in a pandemic environment by strategic adoption of SDGs and effective use of digital platforms.

This paper aims to synthesize and critically explore the available knowledge about the linkages between compulsory citizenship behavior, knowledge hiding and employee innovative performance through a systematic literature review. It proposes a conceptual framework, highlighting the core relationships between these constructs.

Using two databases (Dimensions and Scopus), the authors critically examine 93 peer-reviewed publications from 2006 to 2023 to identify the arguments supporting the associations between the studied constructs.

Through an integrative conceptual model, this study provides insights into the devastating impact of compulsory citizenship behavior on employee innovation performance, further suggesting how knowledge hiding may play a mediating role.

The study's main limitation lies in its conceptual nature. Future research should empirically validate the model to gain richer perspectives into the linkages.

The existing body of literature lacks a comprehensive understanding of the nexus between compulsory citizenship behavior, knowledge hiding and employee innovative performance. This study is a pioneer since it explores the emerging concepts of compulsory citizenship behavior and knowledge hiding and accentuates their presence in the context of innovative performance at the individual level through coercive persuasion theory and cognitive dissonance theory.

This study aims to investigate the relationship between political connections and the over-indebtedness of firms in the construction industry. Furthermore, this study explores the moderating effect of corporate governance mechanisms with monitoring intent on this relationship.

This study uses the data from China’s listed construction firms for the years 2010–2019 to run the fixed-effect regression. This study constructs the optimal capital structure mathematical model by following the trade-off approach.

The research results show that most of China’s listed construction firms are surprisingly over-indebted in the long run. This study affirms that political connections positively impact the over-indebtedness of China’s listed construction firms. However, corporate governance can alleviate the impact of political connections on the over-indebtedness of China’s listed construction firms.

There were limited studies to discuss the relationship between political connections and the over-indebtedness of construction firms, and no particular attention has been given to the moderating effect of corporate governance mechanisms on the relationship between political connections and over-indebtedness. Moreover, in calculating the over-indebtedness of China’s listed construction firms, this study considers the financial characteristics of China’s construction firms when building the mathematical model of optimal capital structure, which makes the calculation results of over-indebtedness closer to reality.

This study aims to investigate and compare the influence of various fiber types (polypropylene, steel and glass) on the workability, mechanical properties, ductility, impact resistance, durability and microscopic properties of geopolymer concrete (GPC) with conventional concrete (CC).

The CC and GPC of M40 grade were incorporated with an optimum 1% of fibers and superplasticizers were added in a ratio of 2% by weight of the geopolymer binder. The slump cone and compaction factor tests were performed to analyze the workability. To evaluate the mechanical performance of GPC, the compressive strength (CS), split tensile strength (STS), flexural strength (FS) and modulus of elasticity (MOE) tests were performed. A falling weight impact test was performed to determine the impact energy (IE) absorbed, the number of blows for initial cracking, the number of blows for complete failure and the ductility aspect.

Fibers and superplasticizers significantly improve GPC properties. The study found that fibers reduce the brittleness of concrete, improving the impact and mechanical strength compared to similar-grade CC. The steel fibers-reinforced GPC has a 15.42% higher CS than CC after three days, showing a faster CS gain. After 28 days, GPC and CC have MOE in the range of 23.9–25.5 GPa and 28.8–30.9 GPa, respectively. The ultimate IE of the GPC with fibers was found to be 5.43% to 21.17% higher than GPC without fibers.

The findings of the study can be used to explore different combinations of raw materials and mix designs to optimize the performance of GPC.

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

The purpose of this study is to map the intellectual structure of sustainable finance and accounting (SFA) literature by identifying the influential aspects, main research streams and future research directions in SFA.

The results are obtained using bibliometric citation analysis and content analysis to conduct a bibliometric review of the intersection of sustainable finance and sustainable accounting using a sample of 795 articles published between 1991 and November 2023.

The most influential factors in the SFA literature are identified, highlighting three primary areas of research: corporate social responsibility and environmental disclosure; financial and economic performance; and regulations and standards.

SFA has experienced rapid development in recent years. The results identify the current research domain, guide potential future research directions, serve as a reference for SFA and provide inspiration to policymakers.

SFA typically encompasses sustainable corporate business practices and investments. This study contributes to broader social impacts by promoting improved corporate practices and sustainability.

This study expands on previous research on SFA. The authors identify significant aspects of the SFA literature, such as the most studied nations, leading journals, authors and trending publications. In addition, the authors provide an overview of the three major streams of the SFA literature and propose various potential future research directions, inspiring both academic research and policymaking.

In this paper, the authors study the entry and outsourcing strategies of manufacturer while considering the brand spillover effect resulting from outsourcing. The supply chain comprises two manufacturers: one being the entrant with a strong brand, and the other as the incumbent with a weak brand. The entrant decides whether and how to enter the market.

Stackelberg game is applied to study the optimal strategies for the manufacturers. This paper conducts a comparative analysis on four situations, yielding conclusions and managerial insights.

The results show that, for the entrant, there is no need to worry about the brand spillover effect in the outsourcing process, which is very interesting and counterintuitive. To get further, the authors find the reason: The spillover effect causes the entrant’s equilibrium retail price to grow faster than the wholesale price. They also prove that a stronger brand effect empowers the entrant to challenge industry barriers, while the impact of the brand spillover effect is the opposite. For the incumbent who acts as the weak party in this issue, it is demonstrated that the optimal choice is to continue selling when facing the encroachment and outsourcing call from the entrant.

Differing from previous studies, the authors notice the brand spillover effect caused by outsourcing when studying company’s entry strategy. They further divide the brand effect into two parts, one of which does not exhibit a spillover.