Search results

The study's main objective is to evaluate the morphological developments in the characteristics of the spatial configurations of the residential layouts in Kerman, Iran, in examining the impact on the level of visual privacy through the spectrum of permeability and wayfinding in space syntax analysis.

In this paper, plan graph analysis is used to measure the syntactic properties of seven topological residential architecture plans in Kerman, Iran, built from the 1970s to 2010s. The methodology involves the development of mathematical measurements to signify permeability and simulation of visibility graph analysis (VGA) to indicate wayfinding.

The findings reveal the residential layouts of Iranian houses tend to be less integrated over decades of design development from the 1970s to 2010s. Reduction in spatial integration corresponds to increase segregation allowing for enhanced visual privacy. The study underpins that, even with the constraints in the scale of the house and reduction in the number of nodes, as evident in the design of the modern residential layout, the efficient level of visual privacy is still achievable with regards to the standards demanded by the local culture.

The study examines the development in residential spatial configuration and building scale on visual privacy through a proposed methodology based on the level of permeability and wayfinding measured as a combined effect using the space syntax analysis and visual accessibility.

At the forefront of current research is the investigation of how big data analytics capability (BDAC) and artificial intelligence capability (AIC) can enhance performance in concert. Therefore, current study intended to conduct more deep research into emerging phenomena and attempts to cover the gap by exploring how entrepreneurial orientations (EO) emphasize the use of two emerging capabilities under the moderating role of environmental dynamism which in turn augment co-innovation and hotel performance.

Data were collected from four-star and five-star hotels located in Kula Lumpur and Langkawi in Malaysia. A total of 260 responses were obtained from IT staff and senior managers with the assistance of a Manpower agency for data analysis. The hypotheses were examined by analyzing the data using PLS-SEM technique through Smart PLS 3 software.

The result revealed that EO has a positive and significant effect on co-innovation (CIN). Additionally, the BDAC and AIC have been tested and proven to be potential mediators between EO and CIN. Also, environmental dynamism as moderator has positive and significant effect on BDAC and co-innovation performance, however, not significant impact on AIC and co-innovation performance. Lastly, findings displayed positive and significant moderated mediation impact of environmental dynamics on BDAC and CIN with hotel performance, but not significant influence on AIC and co-innovation with hotel performance. For theoretical corroboration of the research findings, the current study integrated EO, resource-based view theory and contingent dynamic capabilities (CDC), because neither single stance can explicate an extant research framework.

This study anticipated the several implications for the entrepreneurs of hospitality industry. Managers are recommended to invest in the entrepreneurial traits of the employees/organizations and make strategic readjustment of their capabilities for sustained business performance.

The study goes beyond the normal inquiry by investigating moderated mediation impact of environmental dynamism between two emerging capabilities, co-innovation and hotel performance relationships. Another novelty of this study is to culminate the exploitation and adoption of emerging IT-based capabilities in cross domains of management, entrepreneurship, information systems management within the hotel industry.

The purpose of this study is to explore the complex interplay between technology, personal norms and emotional factors in shaping the sustainable housing choices of millennials in emerging economies. It integrates the model of goal-directed behavior, technology acceptance model and norm activation model, incorporating both self-interest and prosocial motivations. Key adaptations involve replacing perceived behavioral control with financial self-efficacy and substituting hedonic motivation for anticipated positive emotions. Moreover, it introduces location as a practical anchor.

A quantitative, cross-sectional and descriptive research design was used in this study. Data were gathered from a sample of 610 millennial residential real estate investors across Indian smart cities. A multistage stratified sampling technique was used to ensure a representative sample. For data analysis, partial least squares structural equation modeling was used. The analysis focused on hypothesis testing to examine the relationships between the constructs of interest. Bootstrap t-values and effect sizes were used to assess the significance and magnitude of these relationships, respectively.

One of the key findings of this study was the establishment of significant positive relationships between awareness of consequences, ascription of responsibility and personal norms with behavioral intentions. This underscored the importance of personal ethical considerations in shaping intentions. Perceived usefulness and ease of use were found to significantly influence attitudes positively, highlighting the relevance of these factors in forming favorable attitudes toward behaviors. Attitude, subjective norms, financial self-efficacy and location played significant positive roles. However, negative anticipated emotions decreased desire. This illustrated the complex role emotions play in motivational processes. The study also revealed that subjective norms did not significantly contribute to shaping personal norms. This indicated a potential decoupling of societal expectations from personal ethical obligations in the decision-making process.

This study offers actionable insights for both policymakers and real estate developers. For policymakers, the findings highlight the need to craft initiatives that go beyond mere awareness, instead fostering a deep sense of personal responsibility and environmental stewardship among potential homebuyers. For real estate developers, the emphasis on financial self-efficacy and location suggests a strategy shift toward designing sustainable homes that not only meet environmental standards but also align with buyers’ financial confidence and geographic preferences. Together, these strategies can drive a more widespread adoption of sustainable housing, making sustainability a tangible and appealing choice for millennials.

To the best of the authors’ knowledge, this empirical research study was one of the first studies that contributed to the literature by integrating the model of goal-directed behavior, technology acceptance model and norm activation model. This study thus offered a nuanced understanding of the interplay between normative influences, usability perceptions, ethical considerations and emotions in the context of behavioral intentions.

This study aims to examine the relative importance of the impact of central and peripheral route processing of online reviews (ORs) on the acceptance of paid mobile apps among consumers in a fully Islamic market. The authors used the elaboration likelihood model (ELM) and technology acceptance model (TAM) to explain how ORs influence users’ perception and purchase intention of paid mobile apps.

An online survey of 384 Iranian paid mobile app users was conducted to compare the role of overall product ranking, argument quality and information quantity on the perceived usefulness (PU) and perceived ease of use (PEU) of mobile apps and purchase intentions of paid mobile apps.

Results show that only overall product ranking and argument quality influence perceived PEU and PU of paid mobile apps. The quantity of reviews on the app store does not affect perception of the app. The path model supports the mediating role of PU and PEU on information processing and attitude toward the app and purchase intention.

To Islamic markets such as Iran, this study shows that paid mobile app marketers need to monitor closely the reviews in the app stores and make prompt response to negative reviews even if there are only a few reviews because users did not pay attention to the quantity of reviews. The overall ranking and argument quality strongly affect perception and purchase intention of paid apps.

To the best of the authors’ knowledge, this is the first study that combines ELM and TAM in determining the relative importance of central and peripheral processing of information in online product reviews, specifically for paid mobile apps in app stores in a large Islamic market.

The geographical location of Yazd province has significant potential for religious tourism. To make the most of this opportunity, it is important to develop an interpretive structural modeling. This paper aims to outline a model for the development of religious tourism in Yazd province as a Global Religious Destination by identifying and analyzing the interaction of effective drivers in future religious tourism development.

The research methodology is based on the interpretative paradigm and is developmental in nature. It takes an exploratory-analytical approach through the adoption of an inductive method and uses mixed research (qualitative/quantitative) involving religious tourism experts and tourists. The study consists of three main steps. In the first step, effective drivers in future religious tourism development were identified through content analysis of published articles. In the second step, the identified drivers were finalized through a survey of experts. Using futures research and Micmac software, a model was designed to investigate the interaction of the future drivers of religious tourism development. In the third step of the research, 384 tourists who visited Yazd Global Religious Destination participated to check the accuracy of the presented model.

Content analysis and review of scientific documents have identified 14 effective drivers in future religious tourism development that have finalized in a layered model. The model identified factors from the most influential at level one to the least influential at level eight. the theoretical foundations of this research confirmed by 384 visitors participated.

developing religious tourism, whether in the form of a religious city, a religious value system, a religious ceremony and a religious business, requires a comprehensive view that includes tourist’s mental and visual imagery, destination brand’s ideals and visions, religious belief, governmental and formal activities and the material and spiritual capital that can offer religious life style in the world markets to audiences from all over the world in the best way and in the dynamic conditions of competition between destination brands, occupy the first rungs of the audience’s mental ladder.

In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.

This research attempts to assess the role of green intellectual capital components with respect to the sustainability business performance of manufacturing SMEs in Malaysia.

Empirical data for this study were gathered through structured questionnaire forms, from entrepreneurs, managers, and decision-makers of manufacturing, small and medium enterprises. A sample of 500 individuals from 170 manufacturing SMEs from Malaysia was participated. Partial Least Squares (PLS) Structural Equation Modelling technique was used to examine the impact of green intellectual capital on the sustainability business performance of SMEs.

Results expressed that green intellectual capital has a positive significant impact on the sustainability business performance of manufacturing SMEs in Malaysia. Results also posited that the three components such as green customer capital, green technological capital, and green spiritual capital were supported while green human capital, green structural capital, and green social capital were not supported.

The present study inspects how entrepreneurs, managers, and policymakers should practice the concept of green and sustainability to attain maximum benefits from green intellectual capital to increase the sustainability business performance of their organizations.

This pioneering research produces a comprehensive theoretical model of green intellectual capital, supporting the current literature where similar works have been yet. This theoretical model will guide entrepreneurs and managers of SMEs to measure green intellectual capital in SMEs. Despite the significant contribution, this study offers insights to researchers, academicians and practitioners to mitigate environmental destruction and to achieve the sustainable business performance of SMEs in Malaysia and developing countries.

Green consumption behaviour (GCB) has been advocated to mitigate the environmental consequences of traditional consumption patterns. Besides the current circumstances, Generation Z college students are a sizable consumer group who are likely to be concerned about the future. Thus, this study aims to examine the factors affecting the college students’ GCB and the moderating effect of government support to provide new evidence from college students in China.

In addition to environmental knowledge and social media influence as the variables, government support was used as a moderator to develop the extended theory of planned behaviour (TPB) model. Purposive sampling was used to obtain 328 valid responses from Chinese college students. The collected data were analysed using partial least squares structural equation modelling.

The findings indicated that subjective norms, perceived behavioural control, environmental knowledge and social media influence substantially affect students’ GCB. Notably, the moderation analysis suggested that government support greatly strengthens the relationship between subjective norms and social media influence on the GCB of Chinese college students.

The study provides several significant practical implications as the findings could be referred by stakeholders, such as government and businesses entities, in formulating policies and strategies to encourage the consumers’ GCB in mitigating ecological consequences.

The extended TPB model that integrated environmental knowledge and social media influence with the government support as the moderator contributes to the extant literature with the evidence derived from Generation Z in China.

Workforce insufficiencies can impair firms' competitiveness in the hospitality industry. The problem of finding suitably trained employees has been aggravated by changes in consumer preferences, and the development of advanced technologies has led to the ‘smartization’ of upscale hotels. The consequent updating of business models means that decisive indicators of worker competence and employability are different from those applied previously. Thus, the aim of this study is to develop an indicator framework for assessing workforce employability with consideration of competence with artificial intelligence (AI) applications.

The initial indicators for the framework are obtained based on an intensive review of the relevant literature and roundtable meetings with academics and practitioners. The Delphi method is used to collect the data, and a hybrid fuzzy approach, which combines the modified Z-number and modified trapezoidal fuzzy number set techniques, is applied to quantify the information originating from the experts’ judgments. The interquartile range approach is applied to optimize the validity of the indicators.

The assessment framework is applied to evaluate workforce employability at an upscale hotel from the perspective of hotel executives. The capability of the workforce for the adoption of advanced technologies, including familiarity with AI, are considered.

The contributions of this research involve the identification of an updated list of determinants for the evaluation of workforce employability for hotels in today’s world, highlighting the value of AI applications to help ameliorate labor shortage problems. The results should benefit practitioners, allowing them to improve the efficiency of their operations, services and management practices, leading to sustainability and competitiveness in the upscale hotel industry.

Energy consumption in existing office buildings has been growing in parallel with the rise in occupant energy demand. As a result, many building owners have given smart retrofits (SRs) a higher priority. However, the utilisation of suitable SRs from a range of SRs has become a challenging task. The purpose of this paper is to develop a decision-making model to select the most suitable SRs for conventional office buildings and form a set of benchmarks for assessing the performance of SRs.

A qualitative approach with six case studies was used. Content analysis was carried out using NVivo to explore the factors considered for the selection of SR techniques. A decision-making model for selecting SRs in Sri Lankan office buildings was proposed. SR performance benchmarks were developed by referring to established standards and studies done in tropical office buildings.

Out of 18 identified SRs from literature, fan cycling, ventilation control and LED luminaires have been recognised as commonly used SRs in Sri Lankan office buildings. Analysis showed that HVAC retrofits saved more energy, while lighting retrofits could be easily implemented in existing buildings. The proposed decision-making model can explore further improvements to enhance the performance of SRs.

The selection of SRs is a comprehensive decision-making process. Metrics were established to benchmark the performance of SRs. The proposed model offers a tool for building owners and facility managers to optimise facility operations.