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This study is the first to examine how big data analytics (BDA) capabilities affect green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the dynamic capability view, BDA and knowledge-sharing literature. There is a lack of studies addressing the BDA–GAC and BDA–GEO relationships and their potential impact on green innovation. Continuing the ongoing research discussion, a few studies examined the vital implications of knowledge sharing (KS) on GAC, GEO and green innovation.

The study used a cross-sectional and stratified random sampling technique to collect data through self-administered surveys among Chinese manufacturing firm employees. The study applied SmartPLS to analyze the obtained data.

The findings revealed that BDA capabilities positively influence GAC and GEO. In addition, GEO and KS positively impact green innovation. The KS recorded a positive impact on GAC and GEO. Furthermore, GAC and GEO recorded a partial mediating effect.

The study acknowledges that GAC is the backbone of a firm green entrepreneurial orientation, which needs to be aligned with BDA capabilities to anticipate future green business trends. GAC's help drives GEO's green business agenda. KS plays a strategic role in developing GAC, fostering GEO and improving green innovation.

The study highlights the necessity of aligning BDA capabilities to fit firms' GEO green business agendas. This study focuses on the role of BDA capabilities in developing firms' green dynamics capabilities (e.g. GAC), which helps GEO drive superior green business growth. KS develops GAC and boosts GEO to enhance green innovation.

Knowledge sharing enables a firm’s absorptive capacity to reconfigure its dynamic capabilities to sense, track and recognise embryonic business opportunities. Entrepreneurial opportunity recognition triggers entrepreneurs to invest in and upgrade their knowledge practices to improve entrepreneurial performance. This study aims to examine the relationship between knowledge sharing and absorptive capacity on entrepreneurial orientation as well as the moderating effect of opportunity recognition and the mediating effect of absorptive capacity.

A quantitative cross-sectional research design was applied to data from Algerian small and medium-sized enterprise managers in middle- to top-management positions. The final analysis using smart PLS included 246 respondents.

Knowledge sharing positively influenced entrepreneurial orientation and absorptive capacity. In addition, the findings reveal that entrepreneurial orientation positively influences entrepreneurial performance, and opportunity recognition strengthens the relationship between entrepreneurial orientation and entrepreneurial performance. Entrepreneurial orientation and absorptive capacity have partial mediating effects.

This study focuses on how firms create and share developed knowledge to enable absorptive capacity to fit a level of entrepreneurial orientation. This study validates the vital impact of opportunity recognition as a leading motivation for entrepreneurial orientation. The results highlight an important area of research and suggest that firms should focus on knowledge sharing to boost entrepreneurial outcomes.

The notions of entrepreneurship, absorptive capacity and knowledge sharing are extended by building on dynamic capability theory. Knowledge sharing increases absorptive capacity, which drives superior entrepreneurial orientation outcomes.

This paper aims to provide a framework regarding Information Technology (IT) Flexibility in Supply Chain and its relationship with the benefits we could see from Enterprise Resource Planning (ERP) systems. Furthermore, this research explores the moderating effect of Process Integration Capability in the relationship between IT flexibility and ERP benefits.

This research model will help organizations get additional benefits from their ERP systems that incurred huge costs, time and multiple resources at their implementation. The technique used for analyzing data is structural equation modeling (SEM), and data is collected from 107 respondents through a questionnaire from Business and IT Professionals.

The study findings reveal a positive and significant relationship between IT flexibility and ERP systems benefits; moreover, results also confirmed that the organization's process integration capability significantly increased the benefits of ERP systems. The findings also highlight empirical evidence about the significance of the top-to-bottom approach investing in IT flexibility and the bottom-to-top approach during the implementation of IT systems for successful implementations.

This study has various implications for practitioners that help them successfully implement and long-term viability of their IT infrastructure.

This study's findings will help IT managers and strategists make effective decisions for creating IT flexibility in alignment with the strategic goals to realize the desired results expected from ERP systems and implementations of new IT systems.

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

Professional sports teams employ highly paid managers and coaches to train players and make tactical and strategic team decisions. A large literature analyzes the impact of manager decisions on team outcomes. Empirical analysis of manager decisions requires a quantifiable proxy variable for manager decisions. Previous research focused on manager dismissals, tenure on teams, the number of substitutions made in games or the number of healthy players on rosters held out of games for rest, generally finding small positive impacts of manager decisions on team success.

The authors quantify manager decisions by developing a novel measure of game-specific coaching decisions: the Herfindahl–Hirschman Index (HHI) of playing-time across players on a team roster over the course of a season.

Evidence from two-way fixed effects regression models explaining observed variation in National Basketball Association team winning percentage over the 1999–2000 to 2018–2019 seasons show a significant association between managers’ allocation of playing time and team success. A one standard deviation change in playing-time HHI that reflects a flattened distribution of player talent is associated with between one and two additional wins per season, holding the talent of players on the team roster constant. Heterogeneity exists in the impact across teams with different player talent.

This is one of the first papers to examine playing-time concentration in the NBA. The results are important for understanding how managerial decisions about resource allocation lead to sustained competitive advantage. Linking coaching decisions to wins can help teams to better promote this core product.

Academic integrity in tertiary education is a global concern. This chapter describes academic integrity in Australian universities and proposes an “it takes a village” framework to guide universities toward a re-evaluation of academic integrity education. It takes a village to raise a child – a child needs role models and positive influences from multiple people for healthy growth and development. With regard to academic integrity, the parallel is that the entire university community needs to be involved to foster development of students of integrity. The institution and its community need to provide structures, multiple positive and effective learning experiences, and clear guidelines to support both staff and students. In this chapter, we argue that academic integrity needs to be seen as a complex system, one in which everyone involved has responsibility to develop and maintain a culture of integrity and one which supports a student throughout their academic journey.

The time-varying equivalent linear temperature gradient (ELTG) significantly affects the development of faulting and must therefore be accounted for in pavement design. The same is true for faulting of bonded concrete overlays of asphalt (BCOA) with slabs larger than 3 x 3 m. However, the evaluation of ELTG in Mechanistic-Empirical (ME) BCOA design is highly time-consuming. The use of an effective ELTG (EELTG) is an efficient alternative to calculating ELTG. In this study, a model to quickly evaluate EELTG was developed for faulting in BCOA for panels 3 m or longer in size, whose faulting is sensitive to ELTG.

A database of EELTG responses was generated for 144 BCOAs at 169 locations throughout the continental United States, which was used to develop a series of prediction models. Three methods were evaluated: multiple linear regression (MLR), artificial neural networks (ANNs), and multi-gene genetic programming (MGGP). The performance of each method was compared, considering both accuracy and model complexity.

It was shown that ANNs display the highest accuracy, with an R² of 0.90 on the validation dataset. MLR and MGGP models achieved R² of 0.73 and 0.71, respectively. However, these models consisted of far fewer free parameters as compared to the ANNs. The model comparison performed in this study highlights the need for researchers to consider the complexity of models so that their direct implementation is feasible.

This research produced a rapid EELTG prediction model for BCOAs that can be incorporated into the existing faulting model framework.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

With reference to the global financial crisis and lessons learned, advocacy for distributing suitable financial products by financial intermediaries remain key if consumers, especially the illiterate in underdeveloped financial markets, are to be absorbed into the formal financial system. Financial intermediaries such as microfinance banks should provide suitable financial products, with full disclosure of information and customer protection relating to distribution of all financial products within the financial market to prevent financial vulnerability. The main purpose of this study is to establish the mediating role of financial product suitability in the relationship between access to microfinance products and survival of women micro-agribusinesses in rural Uganda.

SmartPLS with bootstrap based on 5,000 samples was used to test for the mediating role of financial product suitability in the relationship between access to microfinance products and survival of women micro-agribusinesses in rural Uganda.

The results revealed that financial product suitability improves access to microfinance products by 29 percentage points to promote survival of women micro-agribusinesses in rural Uganda. In reality, delivering suitable financial products that suit the economic condition of poor women micro-agribusiness borrowers, can allow them to use these products to generate income to meet timely repayment obligations and business demands.

The current study selected samples from only women micro-agribusinesses operating in rural Uganda, with a specific focus on the northern region. Thus, studies involving samples selected from other rural developing countries may be necessary in future. Additionally, while the findings are significant, the data were collected from only women microenterprises who are clients of microfinance banks. Future studies focusing on women microenterprises who are clients of other financial institutions may offer insightful comparative data.

The findings from this study offer strategies for managers of microfinance banks to invent and design financial products that suit the economic status and condition of different microcredit clients, especially the women micro-agribusinesses. This can help them to solve the problem of defaults in loan repayment and delinquency common while lending to the rural poor. In fact, microfinance banks should adopt a customized loan pricing model that can promote the operational sustainability and commercial viability of women micro-agribusinesses in the current situation of mission adrift.

The current study uses the suitability rule and economic theory to elucidate the importance of microfinance product suitability to increase microfinance inclusion of women micro-agribusinesses in rural areas in developing countries. The novelty in this paper is in combining the suitability rule and economic theory with microfinance theory to promote access to microcredit by the women micro-agribusinesses in rural Uganda under the situation of mission adrift. This is limited in the existing microfinance literature and theory, especially in developing countries like Uganda.

Lived experience has increasingly been incorporated into service delivery across health and social care settings. One of the methods used to do this is through the provision of peer support work. While many people will have lived experience of an issue, condition and may even work in services, peers are markedly different insofar as they are employed specifically because they are using this lived experience to explicitly inform their way of providing an intervention. As we will see throughout this book, peers are not a homogenous group; however, they do use some of the same processes to engage and offer support to people with a variety of health and social vulnerabilities. This chapter contextualises these issues before delving into further chapters authored and co-authored by those with lived experience across multiple areas of peer support work.