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The green innovation behavior of construction enterprises is the key to reducing the construction industry's carbon emissions and realizing the green transformation of the construction industry. The purpose of this study is to reveal the evolutionary mechanism of green innovation behavior in construction enterprises.

This study is based on resource-based theory, Porter's hypothesis and signaling theory. First, a measurement model of the green innovation behavior of construction enterprises was constructed from three aspects: environmental regulation, enterprise resources and public opinion through hierarchical analysis. Then, the state values of the measurement model of green innovation behavior of construction enterprises were calculated through the time series data from 2011–2018. Finally, the Markov chain model was used to predict the evolutionary trend of green innovation behavior of construction enterprises, and the accuracy of the prediction effect of the Markov chain model was verified using the time series data of 2019.

The Markov chain model of green innovation behavior of construction enterprises constructed in this study has high accuracy. This model finds that the transition of the growth state of green innovation behavior in China's construction industry is fluid and predicts the evolution trend of the innovation behavior of construction enterprises. In the future, the green innovation behavior of construction enterprises has a probability of 70.17% to be in a continuous growth state and 40.27% to be in a rapid growth state.

Based on the Markov chain model of green innovation behavior of construction enterprises, this study finds that the transition of the growth state of green innovation behavior of construction enterprises in China has the characteristics of liquidity. In addition, it reveals the development process of the green innovation behavior of construction enterprises from 2011–2018 and predicts the evolution trend of the green innovation behavior of construction enterprises.

The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

This study aims to illuminate the limited understanding of viable social business among corporate actors in developing countries. It addresses pressing environmental and societal problems, emphasizing the need for corporate participation in sustainable solutions. Additionally, the study explores the transformational business notion linking company achievement with social progress, an increasingly studied concept in management.

Based on a transdisciplinary case study (i.e. a university-industry collaboration [UIC]), this study proposed a structural framework and guiding principles to integrate the academic and practitioners’ different but complementary resources and expertise.

The outcomes could provide insights for social entrepreneurs to perform highly optimal decisions on their organisational strategies, in which the financial-then-social pathway could be an effective social business success mechanism.

Besides, the case study also generates each five learning lessons and challenges coping strategies that provide practical guidance on operationalising an effective UIC. The empirical findings contribute to social entrepreneurship and sustainability science literature.

This chapter studies the tourism cluster of Majorca and its connection with collective entrepreneurship. To this end, the authors review the history of four world leading Spanish hotel companies, from their beginnings, in Majorca, in the 1950s, to their internationalization, in the 1980s and 1990s: Barceló, Meliá, Riu, and Iberostar. This allows us to identify common patterns of behaviour among them over time, which in turn illustrate the dynamics of the tourism cluster and the role played by its context. This qualitative and historical research allows us to make the following contributions: first, in line with other studies in the economic history of Spanish tourism, the four cases support the identification of Majorca as a tourism cluster. Second, the authors highlight several important characteristics of the island which reinforced and strengthened the cluster and boosted collective entrepreneurship, through an intense flow of information between the companies. Third, the authors illustrate coopetition as the key nature of the relationship between the clustered companies in a simultaneous process of competition and cooperation. Finally, the authors show how the strength of the tourism cluster, in Majorca, drove the companies to replicate the same dynamics and structures abroad.

To further improve the branding strategies between single-brand-retailers and multi-brand-retailers, the paper investigates the influence of multiple manufacturer brand images on retailer brand image. It considers the moderating role of the number of offered manufacturer brands.

The research is conducted in the automotive retail context. Based on an online survey (383 respondents), a Partial-Least Squares Modeling, estimated using SmartPLS 3 and a classic partial least squares structural equation modeling (PLS-SEM) algorithm, is used to validate the hypotheses.

The results reveal that manufacturer brands did not influence the retailer's brand image in all cases since it is only influenced by the manufacturer brand when the retailer offers only one manufacturer brand.

For retailers offering only one manufacturer brand, the most extensive possible adoption of the corporate identity (CI) specifications prescribed by the manufacturer brands is the prerequisite for a positive image effect. Retailers offering more than one manufacturer brand should create their image based on the retailer's identity. In this context, it is essential to position the retailer brand independently in the market.

This is the first study focuses on retailers with a small or limited number of offered manufacturer brands to answer the question of whether the number of provided manufacturer brands moderates the impact of manufacturer brand images on the retailer's brand image.

The aim of this study is to examine the effects of innovativeness (INN), proactiveness, (PRC) and risk-taking (RIT) on the export performance of apparel small and medium-sized enterprises (SMEs) and the role of differentiation and low-cost leadership (LCL) strategies as mediating effects between entrepreneurial orientation (EO) dimensions and the performance of exporting firms. INN, RIT and PRC are considered EO dimensions.

A cross-sectional survey was carried out by providing a questionnaire to the owners, directors and senior managers of the apparel SMEs – the primary data of 550 treated by structural equation modeling (SEM) technique for final data analysis.

The study has revealed the positive dimensional effect of EO on export performance. For the mediation effects of differentiation and LCL, differentiation strategy (DS) positively mediates between INN, PRC and export performance. However, no mediation has been found between RIT and export performance. On the other hand, LCL has found positive effects between INN, RIT and export performance. However, the mediation effect was absent between PRC and export performance.

Limitations/implications- This study has been conducted on only Muslim owners, senior export managers and directors of apparel SMEs in Bangladesh. It has examined the two main competitive strategies as a mediator between EO dimensions and export performance. The findings of this study are based on one country data analysis.

EO, differentiation and low-cost leadership (LCL) strategy are resources and capabilities of an organization to create a competitive advantage to enhance performance. The factors of this research are helpful for SME practitioners.

The direct and indirect effects (differentiation and LCL strategy) of EO dimensions on export performance in an emerging country, i.e. the South-Asia region, is a pioneer study. Therefore, current research has theoretical and managerial implications for the international business and strategic management literature.

This study aims to examine the effects of the characteristics of apparel professionals on their attitude toward sustainability-related technology in the context of a developing country, Bangladesh.

A quantitative approach was used to investigate the apparel professionals’ perception of sustainability-related technology. A survey was conducted, and 204 valid responses were used in data analysis. The structural equation modeling technique was used to analyze the data.

The findings demonstrate that apparel professionals’ personal innovativeness positively impacts their knowledge of apparel technology. Knowledge of apparel technology and environmental issues in apparel manufacturing both significantly and positively impact their level of awareness of sustainability-related technology in apparel manufacturing. The findings also suggest that managers’ level of awareness of sustainability-related technology has a significant positive impact on their attitude toward sustainability-related technology.

Fishbein’s attitude theory was applied to examine how the various characteristics of apparel professionals (i.e. personal innovativeness in technology, knowledge of apparel technology, knowledge of environmental issues of apparel manufacturing) affect their awareness of and attitude toward sustainability-related technology. This study expands our understanding of the causal flow among cognitive variables of apparel professionals, including their innovativeness, knowledge, awareness and attitudes. The findings of the study can be helpful to the apparel industry to improve apparel professionals’ adoption of sustainable technology.

A robust body of scholarship has attached unintended childbearing, cohabitation, and stepfamily living arrangements to a greater risk of union instability in the United States. These aspects of family life, which often co-occur, are overrepresented among disadvantaged populations, who also have an independently higher risk of union instability. Existing scholarship has modeled these family experiences as correlated events to better understand family and union instability, yet the authors assert a direct effort to test whether or how unintended childbearing differs across marital and stepfamily statuses makes important contributions to established research on relationship stability. Drawing on the 2006–2017 National Survey of Family Growth (NSFG), the authors test potential moderating effects to better understand the linkages between unintended childbearing and union dissolution among 7,864 recent, higher-order births to partnered mothers via discrete-time, event history logistic regression models. Findings confirm that unintended childbearing, cohabitation, and stepfamily status are all linked with a greater risk of dissolution. However, unintended childbearing is differentially linked to instability by marital status, with unintended childbearing being associated with a higher risk of dissolution for married couples relative to cohabiting couples. Unintended fertility does not seem to increase the risk of instability across stepfamily status. Findings provide more evidence in support of selection, rather than causation, in explaining the association between unintended childbearing and union instability among higher-order births. Results suggest that among higher-order births, unintended childbearing may reflect underlying relationship issues.