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Stakeholders of the Architecture, Engineering and Construction (AEC) sector require information on the buildings economic performance throughout its life cycle. This information is neither readily available nor always accurate because building management (BM) professionals still face difficulties to fully incorporate the life cycle cost (LCC) concept into their daily practice. The purpose of this paper is to identify and contribute to solving these difficulties.

This paper provides a background knowledge review and set the ground for a structured research roadmap and a management framework that highlight the links and limitations to be addressed within and between LCC and BM. A six-stage method was used for developing conceptual frameworks targeting six goals: establishing a point of departure; mapping sources of information; literature research; notion deconstruction and conceptual categorization; overview of the applicable background knowledge; and structuring of a framework for LCC-informed decisions in BM.

Management solutions for the built context are necessarily connected with LCC and BM current concepts such as asset management, project, program and portfolio management, facility management and data management. These management approaches highlight the importance of incorporating life cycle concepts and promote LCC effective application within the AEC sector.

This paper identifies and discusses current limitations on the information availability for the economic performance of buildings throughout its life cycle. This work also identifies LCC-related topics that need to be further explored or addressed by both the scientific community and practitioners to overcome these limitations and facilitate the integration of the LCC concept into BM activities.

With growing mobility in a globalized world and an estimate of more than 300 million people going on religious pilgrimages every year, various researchers have been focusing on pilgrimage-driven travel services. In this context and within the Islamic religious tradition, the “Umrah” is used as a case study in this paper. In addition, this study also investigated the effects of Umrah SMM (promotion, place, people, product, price, process, physical evidence, marketing communication and after sale service) on customer satisfaction and loyalty toward Umrah travel agents in “Malaysia.”

Convenience sampling technique at four international airports in “Malaysia” was used to obtain data from Umrah travelers who had used Umrah services at least once. A total of 384 usable questionnaires were collected from this study and the data were analyzed using the partial least square.

The result indicated that the marketing mix has a significant positive effect on customer loyalty through customer satisfaction both directly and indirectly. This study will be of interest to the Umrah travel industry, for Malaysia and all the other countries, in understanding how marketing mix strategies are essential in maintaining a long-term relationship with customers.

The literature on Umrah travel services revealed that the traditional service marketing mix (SMM) of 7P’s is inadequate. The purpose of this paper is to address this gap and examine an innovative service marketing mix strategy for “Umrah Service” including marketing communication and after sales service. It investigates the effects of enhanced Umrah SMM on customer satisfaction and loyalty towards Umrah travel agents in “Malaysia”.

This study aims to analyse the effect of borrower’s countries on syndicated loan spreads, featuring countries according to institutional factors, namely, financial systems and corporate governance systems.

This study is an empirical investigation based on a unique sample of more than 85,000 syndicated loans from 122 countries. The paper uses standard and two-stage least squares regression analysis to test whether the types of financial and corporate governance systems affect loan spreads.

The paper finds that borrowers from countries with financial systems oriented towards the banking-based paradigm pay lower interest rate spreads than those from countries with financial systems oriented towards the market-based paradigm. In addition, there is evidence that borrowers from countries with more developed financial systems pay lower spreads. The results also show that borrowers from countries with an Anglo-Saxon governance system pay higher spreads than borrowers from countries with a Continental governance system.

This study does not consider potential promiscuous relationships that can arise at the ownership structure and governance level between banks and borrowers and may affect loan spreads.

This study suggests that financial and corporate governance systems are essential factors in the financial intermediation process. Furthermore, the evidence indicates that corporates with higher potential agency costs and higher potential information asymmetry are requested to pay higher spreads. Therefore, the opportunities to such corporates invest optimally tend to be scarcer.

The paper highlights the impact of institutional factors on the cost of financing, characterising the countries according to the type of financial system and the type of corporate governance system. The study finds that borrowers from countries with bank-based financial systems pay lower interest rate spreads than those from countries with market-based financial systems. The paper also highlights how the level of financial development affects the cost of financing. The paper focusses on non-financial firms, unlike financial firms, which have been the focus of several empirical studies on topics relating to the cost of funding and corporate governance.

This paper aims to present a content analysis of two major constructs among tourism settings, namely involvement and emotions, strictly related to tourist behaviour, due to the fact that there are still some critical gaps in the knowledge about tourists' emotions and involvement.

An in-depth content analysis of involvement and emotions was adopted as the methodological approach. This methodology addressed an amalgam of different definitions, frameworks, mixed theoretical and practical applications and approaches, results, comparisons as well as a blend of a set of scales of involvement and emotions by confrontating of authors.

The major findings state that emotions and involvement demonstrate greater progress and scientific development to the level of tourism, marketing and consumer behaviour, representing an important issue for the integrated tourism experiences.

This study presents a critical reflection on the importance of emotions and involvement in specific contexts of leisure and tourism.

Most local governance assessment tools are entirely or partially based on stakeholders’ surveys, focus groups and benchmarks of different local governments in the world. These tools remain a subjective way of local governance evaluation. To measure the performance of local good-governance using an unbiased assessment technique, the authors have developed a framework to help automate the design process of a data warehouse (DW), which provides local and central decision-makers with factual, measurable and accurate local government data to help assess the performance of local government. The purpose of this paper is to propose the extraction of the DW schema based on a mixed approach that adopts both i* framework for requirements-based representation and domain ontologies for data source representation, to extract the multi-dimensional (MD) elements. The data was collected from various sources and information systems (ISs) deployed in different municipalities.

The authors present a framework for the design and implementation of a DW for local good-governance assessment. The extraction of facts and dimensions of the DW’s MD schema is done using a hybrid approach, where the extraction of requirement-based DW schema and source-based DW schema are done in parallel followed by the reconciliation of the obtained schemas to obtain the good-governance assessment DW final design.

The authors developed a novel framework to design and implement a DW for local good-governance assessment. The framework enables the extraction of the DW MD schema by using domain ontologies to help capture semantic artifacts and minimize misconceptions and misunderstandings between different stakeholders. The introduction and use of domain ontologies during the design process serves the generalization and automation purpose of the framework.

The presently conducted research faced two main limitations as follows: the first is the full automation of the design process of the DW and the second, and most important, is access to local government data as it remains limited because of the lack of digitally stored data in municipalities, especially in developing countries in addition to the difficulty of accessing the data because of regulatory aspects and bureaucracy.

The local government environment is among the public administrations most subject to change-adverse cultures and where the authors can face high levels of resistance and significant difficulties during the implementation of decision support systems, despite the commitment/engagement of decision-makers. Access to data sources stored by different ISs might be challenging. While approaching the municipalities for data access, it was done in the framework of a research project within one of the most notorious universities in the country, which gave more credibility and trust to the research team. There is also a need for further testing of the framework to reveal its scalability and performance characteristics.

Compared to other local government assessment ad hoc tools that are partially or entirely based on subjectively collected data, the framework provides a basis for automated design of a comprehensive local government DW using e-government domain ontologies for data source representation coupled with the goal, rationale and business process diagrams for user requirements representations, thus enabling the extraction of the final DW MD schema.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.