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Link prediction in social networks refers toward inferring the new interactions among the users in near future. Citation networks are constructed based on citing each other papers. Reciprocal link prediction in citations networks refers toward inferring about getting a citation from an author, whose work is already cited by you. The paper aims to discuss these issues.

In this paper, the authors study the extent to which the information of a two-way citation relationship (called reciprocal) is predictable. The authors propose seven different features based on papers, their authors and citations of each paper to predict reciprocal links.

Extensive experiments are performed on CiteSeer data set by using three classification algorithms (decision trees, Naive Bayes, and support vector machines) to analyze the impact of individual, category wise and combination of features. The results reveal that it is likely to precisely predict 96 percent of reciprocal links. The study delivers convincing evidence of presence of the underlying equilibrium amongst reciprocal links.

It is not a generic method for link prediction which can work for different networks with relevant features and parameters.

This paper predicts the reciprocal links to show who is citing your work to collaborate with them in future.

The proposed method will be helpful in finding collaborators and developing academic links.

The proposed method uses reciprocal link prediction for bibliographic networks in a novel way.

This paper aims to investigate the influence of corporate social responsibility (CSR) on employee engagement (EE) through mediating effect of personal environmental norms (PEN) and employee green behavior (EGB).

The proposed model was validated using 360 employees data from manufacturing and service industries.

The findings confirmed that CSR is the positive and significant driver of EE. The results also demonstrated PEN and green employee behavior partly mediate this relationship.

The finding of this study enriches the existing literature and social outcomes of CSR. Theoretical and practical contributions have been discussed in detail.

The study demonstrates CSR is significantly related to EE, mediated via PEN and EGB, highlighting the necessity for micro-level CSR research. To the best of the authors’ knowledge, this is the first and foremost empirical research that establishes the mediating effects of PEN and EGB between CSR and EE in the Indian context.

Islamic finance and Halal product sectors are thriving successfully. This chapter is a general review of the perception of Asian consumers on Islamic finance and Halal sectors in the global Halal economy.

The first section will briefly describe the Halal concept in both Islamic finance and Halal industries, and the growth of both sectors in Asian countries. The second part highlights the review of Asian consumers’ perception towards Islamic finance products and Halal products.

The review found that the consumers’ perception towards the Islamic finance products and Halal products is distinctive. This is due to the diversity of Asian countries in terms of geography, religion, culture, ethnic, school of thoughts (madzahib), income per capita and government’s involvement.

The third part of the chapter concentrates on planning towards Halal marketing, which involves the move and future challenges in different layers of industries to gear up and strengthen the Halal economy.

The purpose of this research is to quantify the effect of stakeholder conflicts on project constraints in the construction industry using ordinal regression analysis. For this purpose, the most significant project constraints and factors that cause stakeholder conflicts found in the literature are measured.

Factors causing stakeholder conflicts and project constraints are extracted through a content analysis of the published literature. Further, a questionnaire survey is conducted involving 170 professionals to assess the effect of conflicts on project constraints. Finally, to obtain a more objective assessment, a statistical model is developed, and to highlight the most severe factors causing conflict and impacting project constraints, ordinal regression analysis is performed.

The results show that in the construction industry, all project constraints are affected by stakeholder conflicts. Factors that result in stakeholder conflicts indicated a positive relationship with cost, time and resources. This means that any increase or decrease in the effect of stakeholder conflicts will directly influence these three project constraints. Similarly, a negative relationship was observed between stakeholder conflicts and quality, workforce productivity, protection of environment and safety regulations in the construction industry, indicating that increase in the effect of stakeholder conflicts will decrease these four project constraints and vice versa. The results for cumulative ordinal regression model highlight that lack of communication, poor quality of completed works and change orders and rework have intense effects on project constraints collectively.

A small number of studies have been undertaken to examine the emergence of project constraints in the developing countries. And even more, its relationship with stakeholder conflicts in the construction industry is limited. This research highlights the most significant project constraints and factors that result in stakeholder conflicts in the construction industry. Therefore, this study adds to the existing body of knowledge by developing an ordinal regression model that will help decision-makers and top management control this enigma of stakeholder conflicts in the construction industry.

The purpose of this study is to empirically investigate the determinants and consequences of psychological reactance in the online shopping context. Leveraging the psychological reactance and self-congruity theories, functional and symbolic discrepancies enhance the psychological reactance toward online shopping. In addition, trustworthiness moderates the impact of online customers attitude ambivalence on their psychological reactance.

The authors conduct an empirical study on online customer cognitive factors. In this research paper, the postpositivism research view is used. The Smart PLS-SEM is used to analyze the data.

The current study findings reveal that self-concept and operational incongruence (i.e. symbolic and functional) are the main factors that lead to psychological reactance and resulting in online shopping hate. Poor website quality and other matters are so significant they create functional incongruence. Moreover, low trustworthiness strengthens psychological reactance in the online shopping hate context.

This study extends the psychological reactance and self-congruence theories to online shopping. Previously, literature has extensively studied the social commerce intention.

This study aims to explore the empirical correlation between patient flow issues, quality of green health services and patient satisfaction in specialist medical department factors from patients’ perspectives as service consumers.

This research is a type of nonintervention empirical research that uses an open survey to explore the views and experiences of users of specialist medical department services. The targeted population is hospital patients included in the top five national PERSI (Indonesian Hospital Association) Award 2022 Green Hospital Category, with a total number of respondents of 572 people. This study uses the partial least square-structural equation modeling analysis method with the SmartPLS application.

Patient flow problems generally affect the quality of eco-friendly health services, except for the waiting time problem, which affects service quality. It should be understood as a top priority for patients to receive services from medical specialists without risking time as a core service aspect from the patient’s perspective. In addition, all variables in eco-friendly hospital services affect patient satisfaction, except in the case of visits to specialist medical departments, which do not affect medical support services and hospital practices that are responsive to the delivery of care services resulting from medical support services that are inseparable in integrated services as well as health care following medical ethics.

This study has a novelty in understanding the implications of green practice in determining patient satisfaction in medical specialist department as the epicenter of hospital services and the main object of assessment for the quality of hospital services.

The purpose of this paper is to examine the moderating effect of religiosity on the relationship between awareness and purchase decision of halal foods.

Using a convenience sampling procedure, 200 questionnaires were distributed to various local higher education institutions with a 64% response rate. A moderated regression analysis is used to test the relationship between awareness and purchase decision, with religiosity as the moderating variable.

As expected, the authors find that among the sample, the level of awareness toward halal foods is high, and that the effect of awareness on purchase decision is positive and significant. Importantly, they find that religiosity acts as a moderating variable on the relationship between awareness and purchase decision.

First, the sample was taken from higher institutions only and respondents were selected using convenience sampling. Hence, it may not be fully representative of the Brunei Muslim population. Second, there may also be omitted variables not considered in the study. Third, the survey instrument and conceptualization of religiosity are both issues that may require further investigation in the literature.

The results indicate that awareness is an important antecedent of Muslim students’ intention to purchase halal foods. Marketers should design their campaigns focusing on creating awareness regarding their compliance with halal products. Moreover, food manufacturers and sellers should use the reliable halal certification and logo as a way to inform their consumers that their products are truly halal.

This study adds to the current limited knowledge of halal foods research. In particular, the authors investigate the moderating effect of religiosity on the relationship between awareness and purchase decision of halal foods.

The purpose of this paper is to develop a clear understanding of the features that increase the probability of condos’ sale, with a focus on design-related features.

The present research uses survival analysis (SA) and the Cox proportional-hazards regression (CPHR) to analyze condo sales data provided by the REALTORS® Association of Edmonton (RAE) (Alberta, Canada).

The analysis of the provided data shows that the listed price, building age, appliances and condo fees have less effect on the time a condo spends on the market compared to the condo’s physical features, such as construction material, interior finishing and heating type and source.

The data used in the present research comes from one geographical area (i.e. Edmonton, Canada). Furthermore, the data provided by the RAE does not include any real estate transactions not involving a realtor. Additionally, the present research, owing to its focus on design-related features, does not control features related to the external environment, such as community and transportation proximity.

The findings of the present research help construction practitioners (e.g. architects, builders and realtors) better understand the features that influence condo buyers’ decisions. This knowledge helps to develop designs and marketing strategies that increase the likelihood of selling and decrease the time listed condos spend on the market.

The present research expands our knowledge of the drivers influencing the purchasers’ decisions concerning the building’s physical features that can be controlled during the design stage. Also, analyzing the provided data by using SA and CPHR, as followed in this paper, facilitates the inclusion of records that are listed but not sold, which helps to overcome the survivorship bias and avoid the over-optimism that exists in the present literature.

This study aims to develop a comprehensive set of determinants and sub-determinant of eco-innovation (EI) and to propose an approach for their structuring and prioritisation.

A framework was developed based on a literature review, interpretive structural modelling (ISM) was used to structure the main determinants and the results were transferred into a six-phase quality function deployment (QFD) for prioritising the sub-determinants. The statistical population included 15 experts and the middle/top managers of 130 knowledge-based companies.

Based on the results of the driving power and dependence diagram from the ISM, a seven-level classification of the main determinants has been used. The QFD results indicated ‘meeting environmental law standards’; ‘scale to support innovative strategies’; ‘commitment to continually improve and make eco-innovations’; ‘technological advisory oriented to environment’; ‘product and process EI oriented methods’; ‘improvements in energy efficiency across the company and the market’ and ‘reputation, brand image, and profit margin’ as the priorities of the sub-determinants of eco-innovation in the phases of the developed QFD.

The findings of this study provide evidence of the usefulness of decision-making approaches such as ISM and QFD in resolving environmental problems, which is helpful to analysts and practitioners in the field of EI.

The novel ISM+EID₂ approach proposed distinguishes this study from previous studies. The approach allows elaboration on the model presented by de Pacheco et al. (2017) by adding nine empirically derived sub-determinants.

The present study aims to evaluate the effect of climate change on the flood hazard potential in the Kelantan River Basin using current and future scenarios.

The intensity-duration-frequency (IDF) was used to estimate the current 50- and 100-year return period 24-h design rainfall, and the climate change factor (CCF) was used to compute the future design rainfall. The CCF was calculated from the rainfall projections of two global climate models, CGCM1 and CCSM3, with different pre-processing steps applied to each. The IDF data were used in the rainfall-runoff-inundation model to simulate current and future flood inundation scenarios.

The estimated CCF values demonstrate a contrast, whereby each station had a CCF value greater than one for CGCM1, while some stations had a CCF value of less than one for CCSM3. Therefore, CGCM1 projected an aggravation and CCSM3 a reduction of flood hazard for future scenarios. The study reveals that topography plays an essential role in calculating the CCF.

To the best of the author’s knowledge, this is the first study to examine flood projections in the Kelantan River Basin. It is, therefore, hoped that these results could benefit local managers and authorities by enabling them to make informed decisions regarding flood risk mitigation in a climate change scenario.