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Virtual try-on (VTO) technology offers an opportunity for fashion and beauty brands to provide enriched self-explorative experiences. The increased popularity of VTOs makes it urgent to understand the drivers and consequences of the exploration of styles in VTO contexts (herein called self-explorative engagement). Notably, little is known about the antecedent and outcomes of the personalized self-explorative experience central to VTOs. This paper aims to fill this knowledge gap.

An online quasi-experiment (N = 500) was conducted in the context of fashion and beauty VTOs. Participants were asked to virtually try on sunglasses or lipsticks and subsequently answer a questionnaire measuring the key constructs: self-presence (i.e. physical similarity and identification), self-explorative engagement (i.e. exploration of styles in VTO context), brand cognitive processing and brand attitude. The authors analyze the data with structural equation modeling via maximum likelihood estimation in LISREL.

The experience of self-presence during consumers’ use of VTOs in augmented reality environments has a positive effect on self-explorative engagement. Furthermore, a mediation analysis reveals that self-explorative engagement improves brand attitude via brand cognitive processing. The results are confirmed for two popular fashion and beauty brands.

Grounded in extended self theory, to the best of the authors’ knowledge, this is the first study to show that a realistic VTO experience encourages self-extension via a process starting from the exploration of styles and results in increased brand cognitive processing and more positive brand attitudes. The exploration of styles is enabled by self-presence.

This study examines the impact of cultural dimensions on entrepreneurial intentions (EIs) and the mediating role of planned behavior (TPB) determinants between change tolerance (CT), group focus (GF), and EIs for both men and women in the context of international business schools.

Using a quantitative research design, data were collected in France through anonymous questionnaires. The data consisted of responses from 480 business students. Structural equation modeling (SEM) and the bootstrap method with PROCESS macro were used to determine the significance of the mediation effects.

Results reveal the strong impact of CT on the EIs of both men and women through TPB antecedents. They also indicate that GF has an indirect effect on EIs through TPB antecedents for men and an indirect multiple mediation effect on EIs through CT and TPB antecedents for both men and women.

The extended TPB model is original in that it supports both the determinants of planned behavior and cultural dimensions and provides a valuable perspective through its findings on cultural and gender diversity in entrepreneurship.

本研究擬探討文化維度對創業意向的影響；研究亦探討在國際商學院的背景下，對改變的容忍度，群體焦點及男性和女性的創業意向三者之間的計劃行為決定因素所起的調節作用。

透過量化研究設計，研究人員使用匿名問卷，在法國收集數據；數據包括480名商學院學生的囘應。研究使用結構方程模型及自助法，並附上總體過程，來判斷調節效應的重要性。

研究結果顯示、透過計劃行為的前身，對改變的容忍度會對不論男性或女性的創業意向均有重大的影響。研究結果亦顯示，群體焦點對男性而言，會透過計劃行為的前身，對創業意向會有間接的影響，而群體焦點對無論是男性抑或是女性，會透過對改變的容忍度及計劃行為的前身，對創業意向會產生多個間接的調節效應。

伸延的計劃行為模型是富有創意的，因其為計劃行為及文化維度提供支援論據，亦透過研究創業上的文化與性別的多樣性所得到的結果，提供了一個寳貴的觀點。

The objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.

A Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.

The results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.

The authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.

This article aims to draw a conceptual model that integrates the view from the entrepreneurial event model with entrepreneurial education and prior self-employment experience. The model tests the role of entrepreneurial education on the formation of intentions to become an entrepreneur and examines whether prior self-employed experiences moderate the route from entrepreneurial education, entrepreneurial perceived feasibility (PF) and perceived desirability (PD) into the entrepreneurial intention (EI).

The authors operated on a sample of 389 master's students by applying Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to illustrate the links between constructs.

The study found that entrepreneurial education is positively correlated with PF, PD, and intention to enter entrepreneurial activities. PD is determined as a partial mediator in the entrepreneurial education–intention link and full mediator in PF and EI. Moreover, the study revealed that prior self-employed experiences serve as a positive moderator in the path from entrepreneurial education and PD to EI.

The study offers several recommendations based on research findings so as to nurture and promote entrepreneurial activities among master's students.

The current research provides novel insights about the relationship between entrepreneurial education and intentions to become an entrepreneur over and about the central antecedents in the entrepreneurial event model and moderation effects of prior self-employed experiences.

The purpose of this paper is to investigate the impact of peripheral services offered by distance education (DE) institutes on student involvement in DE and, examine whether this impact is mediated by student experience quality.

Quantitative research approach based on cross-sectional survey design was used where data were collected using a structured questionnaire. Sample consisted of 400 undergraduates of the Open University of Sri Lanka, drawn using simple random sampling technique. Collected data were analyzed using the structural equation model.

Data analysis revealed that there is a significant direct impact of peripheral services offered by DE institutes on student involvement in the Sri Lankan context. Furthermore, it is validated that this impact is mediated by student experience quality.

Focus of the study is only on the impact of contextual elements rather than personal or demographic factors of students which can have an important impact on their experience quality as well as involvement.

Findings are useful in designing and redesigning service offering and policy development by DE institutes to make their services more appealing.

Even though previous studies have identified student dropout and lower academic excellence as issues in DE, how service offering can be used to overcome them via student involvement has not received considerable attention. Hence, the tested conceptual model developed on multiple theories is a novel contribution to the existing knowledge base.

This article discusses several issues concerning STEM in the context of teacher education.

Using a review of the literature of the past two decades, this article approached the topic of addressing STEM in the context of teacher education through six issues.

1. Integration is key. 2. Disciplinary knowledge needs emphasizing. 3. Equitability of discipline representations is a nonfactor. 4. Still, mathematics deserves a heavier dose. 5. Collaboration is a desired component. 6. Inequality issues deserve more attention.

This article is original. It informs researchers, practitioners and policymakers of what issues to focus on concerning STEM in the context of teacher education.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

The paper explores how interpretations of vernacular traditional architecture played a significant role in the development of urban conservation practice in Turkey in the 1960s and 1970s. At the turn of the 20th century, the value of Ottoman historic residential architecture began to develop with the label of the Turkish House. At the turn of the 20th century, historic residential architecture of the Ottoman Empire gained a heritage value and labeled as the Turkish House. Thus, these houses became a part of a national heritage discourse, though their preservation only came to agenda in the early 1970s through preservation programs for Istanbul's waterfront mansions (yali). Turkey simultaneously adapted international heritage developments throughout the 1960s and the 1970s and introduced urban conservation both in practice and in theory to heritage management system of Turkey.

The main research material is derived from the archives of the primary preservation council of Turkey that functioned from 1951 to 1983. The earlier works of the members of the council, journals of the period and urban projects are investigated to outline the complexities of urban conservation.

This paper explores how modernist efforts of the early 20th century framed traditional Ottoman architecture with the label “Turkish House.” In addition, it reveals how preserving the Turkish House was a major motivation that triggered early urban conservation attempts primarily along Istanbul's Bosporus shores.

The paper outlines dynamics of urban conservation. It outlines that urban conservation did not only emerge as a response to postwar context, but it was also a historic continuation of modernist understandings of “cultural heritage.”

This paper aims to examine the effects of perceived desirability for entrepreneurship (PDE) and perceived self-efficacy (PSE) on the entrepreneurial intentions (EI) of business students, with the moderation effect of entrepreneurial knowledge (EK) in the context of the theory of planned behaviour.

We used a self-administered survey of 200 students registered in the business schools of Pakistani universities. The causal association between the variables was estimated through SmartPLS by using hierarchal linear modelling.

The study findings indicate that PDE and PSE significantly influence EIs. Furthermore, EK significantly strengthens the nexus between PDE and EIs and between PSE and EIs. Those students who had already acquired self-efficacy and exhibited desirability for the business venture were more inclined towards entrepreneurship if they had acquired some EK and vice versa.

This study reveals that a model of EIs is needed to configure the students’ goals and motivations. Also, using new education programmes will help students acquire new knowledge for business startups. Further implications are also discussed.

This research fills a gap by using the moderating role of EK on the nexus between PDE, PSE and EIs, which has remained untouched in the educational sector.

Labour productivity in construction has fallen behind other industries in most of the world and has declined continuously for decades. Although several scholarly research projects have been conducted to salvage the prevalent low labour productivity in construction, contractors in the construction industry have continued to grapple with the devastating impact of low productivity. The purpose of this study is to determine key areas of focus necessary to promote productivity growth in construction.

Bibliometric and scientometric assessments were conducted to map the existing construction labour productivity (CLP) studies and establish key focus areas in the research domain. The keywords “Construction Productivity” OR “Construction Labour Productivity” OR “Construction Labor Productivity” OR “Construction Worker Productivity”.

Emerging trends in the CLP research field are reported. The study also determined the most productive authors and collaboration among authors, most productive journals, most active regions and publications with the highest impact in CLP research.

Documents published in the Scopus database were considered for analysis because of the wider coverage of the database. Journal and conference articles written in English language represent the inclusion criteria, while articles in press, review, book chapters, editorial, erratum, note, short survey and data paper were excluded from analysis. The study is also limited to documents published from 2012 to 2021.

The study brought to the awareness of the industry practitioners and other construction stakeholders, the key knowledge areas that are critical to promoting productivity growth in construction.

Except bibliometric analysis, previous research studies have used different approaches to investigate productivity in construction. The study presented future research directions through the emerging knowledge areas identified in the study.