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By comparing regression models, this study aims to analyze the added home value of green sustainability features and green efficiency characteristics, rather than green certifications, in the city of Austin.

The adoption of home green energy efficiency upgrades has emerged as a new trend in the real estate industry, offering several benefits to builders and home buyers. These include tax reductions, health improvements and energy savings. Previous studies have shown that energy-certified single-family homes command a premium in the marketplace. However, the literature is limited in its analysis of the effects of green upgrades and certification on different types of single-family homes. To address this gap, this research collected data from 21,292 multiple listing services (MLS) closed home-selling listings in Austin, Texas, over a period of 35 months.

The analysis results showed that green efficiency features could generally increase single-family housing prices by 11.9%, whereas green sustainability upgrades can potentially bring a 11.7% higher selling price. Although green housing certification did not have significant effects on most housing groups, it did increase closing prices by 13.2% for single-family residences sold at the medium price range, which is higher than the impacts from simply listing the green features on MLS.

The study contributes to the body of knowledge by examining the market value of broadly defined energy efficiency and sustainability features in the residential housing market. The findings can help policymakers, brokerage firms, home builders and owners adjust their policies and strategies related to single-family home sales and mortgage approvals. The research also highlights the potential benefits of capitalizing on green housing features other than certifications.

The purpose of this paper is to present an explanatory model of the factors that determine parental support for possible entrepreneurial initiatives of the parents' children. This is one of the most important challenges to promote the next generation of entrepreneurs.

A perspective based on the theory of planned behavior (TPB) is adopted, and the model is extended to integrate the antecedents of personal attitude toward children's entrepreneurship. The model is tested on a sample of 400 parents.

Perceived behavioral control (PBC), namely the perception that parents have about the readiness of the children to be entrepreneurs plays the greatest effect on the intention of supporting children's entrepreneurial behavior. In addition, parents' perceptions of how people from the immediate surroundings value the children's possible entrepreneurial behavior are the second most influential variable in the parents' intention to support such behavior. Finally, a parent's personal attitude toward the parent's children's entrepreneurship is the third most relevant variable to explain intention to support, practically with the same weight as subjective norms (SNs).

The results seem to confirm the importance of entrepreneurship development policies that focus on family characteristics and mindsets rather than on more traditional formal institutional support, such as business advice or financial resources. Family emerges as a key mediator to transfer the rules of normative and cultural-cognitive dimensions. Moreover, the results indicate the important role of entrepreneurship education in enhancing entrepreneurship not only due to the positive direct impact on students' entrepreneurial intentions, but also by changing parents' perceptions regarding the children's capabilities and, therefore, influencing the support for entrepreneurial behavior.

Previous studies have analyzed the influence of support from the immediate environment, especially the family, on young people's entrepreneurial behavior and have defined the types of support the family environment can provide. However, there is a missing link in the literature regarding the determinants of family support, despite the determinants' importance in configuring the normative and cultural-cognitive dimensions and the determinants' impact on society, promoting entrepreneurship.

A significant increase in financial crime globally emphasises the importance of forensic interviewing to obtain useful and reliable information as part of a commercial forensic investigation. Previous research has identified two interviewing strategies that are aligned with the legal framework in South Africa: the PEACE model (P = preparation and planning; E = engage and explain; A = account, clarify and challenge; C = closure; E = evaluation) and the person-centred approach (PCA). The purpose of this paper is to explore the theoretical underpinnings and application of the PEACE model and the PCA as commercial investigative strategies aligned with the legal context in South Africa.

A scoping review was undertaken to identify literature relevant to the theoretical assumptions and application of the PEACE model and the PCA.

Literature for the most part reports on the PEACE model but offers very little information about the PCA. A critical analysis revealed that the PEACE model incorporates a clear guiding structure for eliciting information but lacks content needed to create an optimal interpersonal context. To promote this, the PCA proposes that interviewers demonstrate three relational variables: empathy, congruence and unconditional positive regard. The PCA suggests a basic structure for interviewing (beginning, middle and end), while providing very little guidance on how to structure the forensic interview and what information is to be elicited in each phase.

Combining the PEACE model and PCA presents an integrated interviewing technique best suited for obtaining useful and reliable information admissible in a South African court of law. The PEACE model has a clear structure, and the PCA assists in creating an optimal interpersonal context to obtain information in an interview.

The purpose of this study is to investigate if a firm's exchange complexity profile (that is, the linkages between the firm and its environment) influences investor behavior at the negotiation table where a firm valuation is derived.

The authors utilize Qualitative Comparative Analysis (QCA). Specifically, the authors utilize fuzzy-set Qualitative Comparative Analysis (fsQCA), a QCA variant that allows the researcher to assign graduated membership in sets.

When the authors dichotomize their positions as either higher stakes that favor the seller (high capital, low equity, high valuation) or lower stakes that favor the buyer (low capital, high equity, low valuation), and when the authors focus primarily on the equity outcome, the authors find that investors adopt a reductionist stance that adheres to a transaction cost economics logic under conditions of lower stakes and higher complexity as well as higher stakes and lower complexity conditions. The authors interpret this to mean that equity serves as a counter-balancing lever for a firm's exchange complexity configuration.

On a theoretical level, the authors showcase the exchange complexity framework and differentiate its position within the extant frameworks that address a firm's competitive advantage. More generally, the authors note that this framework brings the discipline of micro-economics and the field of strategic management closer together, providing scholars with a new tool enabling research across industries for the portfolio level of analysis.

The purpose of this study is to provide a nuanced understanding of the marketing placebo effect (MPE) of products with reduced sugar labeling and how it forms certain perceptual underpins (perceived healthiness (PH) and perceived tastiness (PT)), with the potential effect of product category and social class in consideration.

The proposed model is tested using a sample of 822 participants by employing partial least squares structural equation modeling (PLS-SEM). Hypothetical relationships among MPE, PH, PT, purchase intention (PI) and social class are examined for both hedonic and utilitarian products.

The results highlight the positive role of MPE in leveraging consumer PI through the parallel mediation of PH and PT. The positive effect of MPE on PH and PT was more pronounced for the utilitarian product. In addition, social class negatively moderated the relationship between PH and PI only in the case of the utilitarian product.

This paper contributed to the MPE literature in the food industry by challenging the conventional intuition of “Unhealthy = Tasty” and highlighting the potential of perceived food healthiness to positively influence perceived food tastiness under the effect of MPE. An upper social class would attenuate the positive effect of perceived food healthiness on PI.

Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

This study aims to extend understanding of individual innovation by examining how learning strategies and relational dynamics influence the generation and promotion of innovative ideas. By investigating the extent to which the relationship between learning strategies and innovation varies as a function of a social factor (i.e. leader–member exchange), this research strengthens the conceptual model of individual innovation by integrating cognitive, behavioral and environmental factors.

Data collected from 667 working adults met satisfactory standards of construct reliability, and confirmatory factor analyses were used to verify sufficient convergent and discriminant construct validity. A first-stage moderated-mediation model was used to measure the direct and indirect effects of the independent variable on the dependent variable, as well as the effect of the moderating variable.

Leader–member exchange positively moderated the relationship between behavioral learning strategies and idea generation, but not the relationship between cognitive learning strategies and idea generation. Furthermore, idea generation mediated the relationship between the interaction (i.e. behavioral learning strategies × leader–member exchange) and idea promotion. Idea generation also mediated the relationship between cognitive learning strategies and idea promotion.

This research extends the generalizability of social cognitive theory within individual innovation processes and provides a greater understanding of how relational dynamics strengthen employee innovation through behavioral learning strategies. Support for the hypothesized moderated-mediation model empirically validates how organizational leaders can leverage relational dynamics and learning strategies to elicit the conceptualization and championing of innovative ideas in the workplace.

Aged-care work has become an extreme form of work. Anti-violence HRM, comprising practices to combat workplace violence, is important in an industry with widespread violence. In this paper, we employ social exchange theory to better understand the effect of anti-violence HRM and trust in the manager on perceived nurse and PCA cynicism working in Australian aged care facilities and their subsequent intention to leave.

This study used a mixed method with two stages. Stage 1 comprised semi-structured interviews with 10 managers and 50 nurses and PCAs working in Australian aged care facilities. Stage 2 comprised a survey of nurses and PCAs with a total of 254 completed responses in Time 1 (first wave) and 225 completed responses in Time 2 (second wave).

We tested three hypotheses and reported that interestingly anti-violence HRM was positively associated with organisational cynicism. Organisational cynicism mediated the relationship between anti-violence HRM and intention to leave. Worker trust in the manager moderated the relationship between anti-violence HRM practices and organisational cynicism, such that high levels of trust in the manager increased the effect of anti-violence HRM practices to reduce organisational cynicism and subsequently reduce intention to leave.

We find evidence that in aged care, workers' trust in their managers is critical for effectual anti-violence HRM. We argue that implementation of HRM practices may be more complex in extreme work settings. It is crucial to study HRM in situ and understand the root of social exchange(s) as a foundation for HRM to influence employee attitudes and behaviour.

This study aimed to explore the antecedents of small- and medium-sized enterprises (SMEs) internationalization and to compare the different resources required to enter different geographical regions. This study adds to the discussion on internationalization from a resource-based view (RBV) and a focus on dynamic capability, especially the linkage with resources such as digital capability, domestic industrial networks and the business-to-business (B2B) model.

This study used secondary data collected by an SME association in 2020, using a logistic regression model to examine the hypotheses. The respondents were selected according to stratified random sampling.

Digital capability and the B2B model significantly and positively affect the likelihood of internationalization by SMEs, while domestic industrial networks were negatively correlated with this process. In addition, Taiwanese SMEs with high digital capability tend to expand to North America, Europe, Southeast Asia, Northeast Asia, Oceania and the Middle East. Smaller firms tend to develop in Southeast Asia, whereas larger firms opt to establish business in Oceania.

A research limitation is the generalizability of the sample. Findings could be enhanced if future studies include more industries and draw comparisons among different industries or countries. Future studies could explore digital entrepreneurship from a global perspective.

Managers need to emphasize better the development of digital capabilities and skills for SMEs. With limited financial resources and workforce, SMEs can strengthen the competence in international markets by adopting a suitable business model. When SMEs join an association to expand SMEs foreign networks, the study suggests that SMEs carefully evaluate the characteristics of each industrial association first, given that some associations are domestic-oriented. As for public policymakers, a project grant can be used to provide digital capability training for SME employees and owners or promote building a B2B model when internationalizing.

The authors' findings fill the research gaps in RBVs of internationalization, especially in linking resources such as digital capability, domestic industrial networks and the B2B model. The outcomes of this research serve as a reference not only to policymakers for improving the current SME ecosystem, but also to business practitioners positioning themselves in this system.

Infrastructure projects are pivotal for regional economic development, but also face low project effectiveness. Leadership is always regarded as a key enabler for project team effectiveness, including vertical leadership and team-level leadership. The purpose of this paper is to examine how vertical leadership facilitates shared leadership in infrastructure project teams.

This paper develops the conceptual model based on the literature review. Then the questionnaire survey was conducted. The empirical data obtained from 117 infrastructure project teams in China were analyzed by partial least squares structural equation modeling (PLS-SEM) for validating the proposed model. Finally, the results were comparatively discussed to explain the dual-pathway between vertical leadership and shared leadership. And the practical implications were presented for the project managers in infrastructure project teams.

Drawing on social learning theory and social cognitive theory, the results show that both participative leadership and task-oriented leadership can facilitate shared leadership. Further, team atmosphere fully mediates the link between participative leadership and shared leadership. Team efficacy fully mediates the relation between task-oriented leadership and shared leadership. Also, role clarity has a negative moderating effect on the former path.

The study extends the knowledge of leadership theory in the construction field. Based on the proposed conceptual model and PLS-SEM results, this study unveils the black box between vertical leadership and shared leadership and contributes to the theory of leadership on how the impact of different vertical leadership on team process promotes shared leadership.