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The purpose of this paper is to identify and analyze influential factors of service-oriented architecture (SOA) adoption in e-banking and to provide a methodological framework that explains these factors. One of the main reasons why banks fail to achieve the benefits from SOA adoption is attributed to the lack of a framework that takes multiple perspectives of crucial factors into account. For this reason, the absence of such a methodological framework forms an important research problem that requires deeper investigation. In addressing this issue the paper proposes a framework that improves the decision-making process and helps banks raising SOA adoption benefits.

The paper is based on a critical review and analysis of the normative literature, the development of a conceptual framework for SOA adoption in e-banking and the examination of this through a case study in a real environment. Various data collection methods such as personal interview, archival records, documentation and observation are used. Empirical data are triangulated and then analyzed to draw empirical conclusions.

Several factors and classifications of factors related to SOA adoption are not similar among researchers and there is no completed study on analyzing the influential factors related to SOA adoption in e-banking. The findings provide new insights related to influential factors of SOA adoption in e-banking and extend the body of knowledge. The findings show that the proposed framework can improve the decision-making process and help banks to increase the SOA adoption benefits in an e-banking environment.

An earlier version of the paper was presented at the European, Mediterranean and Middle Eastern Conference on Information Systems 2012 and has been selected for publishing in the Journal of Enterprise Information Management. This paper adds a new dimension to existing SOA frameworks by investigating influential factors of SOA adoption in e-banking where limited research has been done, facilitates banks in making robust decisions for SOA adoption in e-banking and enriches the bibliography related to SOA adoption in e-banking.

To survive high‐level management needs business intelligent information to efficiently manage corporate operations and support its decision making. Knowledge management (KM) is recognized as one of the most critical factors for obtaining organizational competitive advantage. A variety of factors determines significant success ingredients for successful implementation of KM in any organization. The primary challenge in KM initiation is how to integrate the above factors with organizational and personnel constraints and capabilities. This paper aims to develop a priority framework based on multi‐criteria decision making (MCDM) to help organizations build awareness of the critical influential factors affecting successful implementation of KM.

To identify critical influential factors, the authors studied and reviewed relevant literature from numerous fields of study associated with the essential issues of KM projects implementation. These cover the factors that affect a KM implementation based on comprehensive analysis of KM literature from numerous research studies. Research methodology used in this study is based on a combination of other methodologies such as action research, group discussion, documentary study and questionnaire research. For this purpose a group of experienced managers were selected and discussion sessions were held to set objectives and road map the study. Finally group analysis hierarchy process (GAHP) was used to analyse questionnaires and prioritize influential factors.

The conceptual framework presents a roadmap for success of KM programs in the organizations. The paper identifies eight major aspects, 44 influential factors and a conceptual framework to assisting managers to design and implement a KM system in their organizations. The results show top management, executive management and culture have great impact on success of KM implementation among main aspects. The conceptual framework presents guidelines for success of KM implementation in organizations.

The result of this study not only validates theory with reality, but it also provides a reference for the academic as well as the business world. It is hoped that the factors proposed in this study help organizations to manage knowledge activities effectively and implement knowledge projects smoothly in order to maximize benefits from KM projects and returns from knowledge assets.

This study is the first to provide an integrated perspective of critical success factors in KM implementation in Khorasan Science and Technology Park (KSTP). It gives valuable guidelines for top managers and leaders to accomplish KM projects effectively.

This paper analyses the link between the importance, as stated by reporters, of specific factors in the decision to disclose environmental information and actual reporting practices. Through a mail survey, chief finance officers (CFOs) of selected Australian companies rated the perceived importance of specific factors in the decision to disclose environmental information. Environmental disclosure within respondents’ annual reports were reviewed and an analysis was undertaken to determine if relationships existed between actual reporting practices and ratings of importance assigned to various factors. The results indicate some significant correlations between the perceived importance of a number of factors and environmental reporting practices. The results of the analysis provide limited support for legitimacy theory as an explanatory link between identified influential factors in management’s decision process and actual environmental disclosure.

Construction material management is an important process in supporting construction operations that affect project performance. Previous studies attempt to identify factors influencing material management in different stages such as procurement, transportation and utilization. However, they lack a model to explain the relationship between influential factors and the effectiveness of material management. Therefore, this study aims to validate the variables and key factors influencing the effectiveness of material management processes.

A total of 42 variables were reviewed from literature in different stages of material management process. Survey questionnaires were used to collect data about participants' perceptions on these variables. The respondents were 200 project engineers and project managers from construction sites and offices in Vietnam. Then factor analysis techniques were undertaken to validate the structure of factor groups. Two methods of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were, respectively, performed to evaluate and verify the model's fit.

Factors influencing the effectiveness of material management were grouped into nine main factors, which are procurement issues, site conditions, planning and handling on site, industrial environments, contractual issues, quality control, suppliers and manufacturers' issues, transportation in and out site and security on site.

The paper has several implications for theory and methodology related to material management. It features influential factors in association with the material management effectiveness. Therefore, senior managers can more fully understand the errors in their works and propose timely solutions to limit the unwanted risks.

This research contributes on theoretical development on factors influencing effectiveness of material management processes. The key findings on influential factors can be applied to measure the effectiveness of material management processes.

The purpose of this paper is to identify and rank the influential social marketing factors for physical activity promotion.

A descriptive-survey approach is used in this study. First, the influential social marketing factors for physical activity promotion were determined through the review of theoretical foundations and literature. The factors with a >0.7 content validity index (CVI) value, based on the experts' opinion, were selected. A total of 23 individuals participated in the study, including sports marketing experts and members of physical activity committees of Iranian sports federations, and they were selected purposively. The study data were collected using a pairwise comparison questionnaire and analyzed using the DEMATEL-based analytic network process (DANP) method.

In this study, a total of 17 influential social marketing factors were identified and categorized in 5 dimensions: product, price, place, promotion and partnership. Based on DEMATEL-based analytic network process (DANP) results, the “promotion” with the weight of 0.212 was the most important dimension and “providing inexpensive sports services” with the weight of 0.096 was the most important social marketing factor influencing the promotion of the physical activity.

The results highlight the importance of sport for all services expenses and costs in promoting physical activity. Thus, the results can be the basis for policies regarding social marketing to promote physical activity.

This paper intends to review and assess the factors influencing adaptive reuse of commercial projects, throughout their life cycle, in Saudi Arabia.

A mixed approach of literature review, pilot-testing and questionnaire survey was utilized to identify and assess the factors affecting adaptive reuse of commercial projects. Thirty-eight factors were identified and categorized under four groups, corresponding to the key phases of the project life cycle. The questionnaire survey was administered to a targeted group of 90 architecture/engineering, construction and facilities management (AEC/FM) practitioners of building adaptive reuse, in the Eastern Province of Saudi Arabia. The relative importance index (RII) for each factor was calculated. Three levels of agreement, based on the ranking of the factors, among the respondents were determined.

The most important factors affecting adaptive reuse of commercial projects are: structural integrity of the building, municipal approval for the land use change, enforcement of safety procedures at the project site, compliance with health and safety measures and accuracy and completeness of the contract documents. A high level of agreement was observed among the three groups of respondents, on the ranking of the factors.

This research expands the body of knowledge, through providing AEC/FM practitioners, with the type, importance and ranking of the influential factors on adaptive reuse of commercial projects, throughout their life cycle.

The purpose of this paper is to compare influential factors of entrepreneurial activities over time in China and to compare China with other selected countries. The data are collected from Global Entrepreneurship Monitor (GEM). The method used is decision trees and chi-square automatic interaction detector (CHAID) analysis, which isolates important factors and examines entrepreneurship predictor importance.

The method used is decision trees and CHAID analysis which isolate important factors and examine entrepreneurship predictor importance. The original contribution of this paper is that this is the first time where artificial decision trees are applied to data to isolate factors that influence business startups and used across countries for comparative purposes. It is also the first application of this model to Chinese GEM. CHAID trees and predictor importance show the value of motivations of people who have already started businesses and shed light on how public policy can be influential in promoting entrepreneurship.

Results indicate that solid knowledge and skills of how to start a business and knowing someone who has already started a business are the most important factors in China and in most of the selected countries. Fear of failure is becoming less important for Chinese entrepreneurs over the years from 2003 to 2012. Results show that countries, including China, have to enhance skill and knowledge education if they want to promote small business entrepreneurship as a policy. The findings support human capital theory.

The limitations of this study are due to using aggregated data from GEM surveys, which do not allow the authors to examine individual or household behavior. The authors do not know the variance and the distribution of responses to the questions asked and the locations in which the surveys were conducted. Another limitation is that GEM data do not report regional variations which can be modeled. For future work, the authors suggest more detailed data availability which will lead to isolating entrepreneurial problems and highlighting relevant attitudes important to entrepreneurs.

Better data collection is needed at household and regional levels to understand business starts and to promote entrepreneurship.

Social implication of this research is to find out effective ways to increase entrepreneurial activities, therefore creating job opportunities and boosting economic growth. Educational programs will also decrease disparity of opportunity and incomes between different geographical regions in the country. The original contribution of this paper is that this is the first time artificial decision trees are applied to data to isolate factors that influence business startups across countries.

The original contribution of this paper is that this is the first time where artificial decision trees are applied to data to isolate factors that influence business startups and used across countries for comparative purposes. It is also the first application of this model to Chinese GEM. CHAID trees and predictor importance show the value of motivations of people who have already started businesses and shed light on how public policy can be influential in promoting entrepreneurship. This research modeled the breakdown of reasons people would start a business by using GEM data surveys.

The construction industry is a crucial industry for national development worldwide. Because the construction industry is tied to national and international economic activities, the COVID-19 outbreak has limited construction projects. Therefore, this study investigates the most influential factors regarding COVID-19 and their effects on the construction industry.

The potential impacts of COVID-19 on the construction industry were identified through a realistic literature review and interviews with professionals. A questionnaire was distributed via e-mail to architects, civil engineers and contractors who play vital roles during the construction processes. The data were analysed using SPSS 22 and LISREL 8.7 software to quantify the most influential pandemic-related factors faced by the construction industry.

Ten influential pandemic factors affecting the construction industry in Turkey were identified. Among them, “increased costs and price escalations due to shortage of raw materials and supply chain disruption” and “challenges with payment and cash flows” were determined as the most influential pandemic factors.

This research aims to advance comprehension of pandemic impacts and contributes an incipient assessment framework based on 10 determined pandemic factors. Therefore, contractors, architects and civil engineers may analyse their weaknesses and organise precise priorities so that their firms may remain competitive, thus minimising the adverse impact of COVID-19 and possible forthcoming waves.

Few studies have identified the effect of pandemics on the construction industry qualitatively, forcing management to make projections to the current situation. Moreover, no study has provided insights into the influential factors of pandemics using quantitative methods. Therefore, this study comprehensively and quantitatively determines the relevant COVID-19 pandemic factors using exploratory factor analysis (EFA) and utilises confirmatory factor analysis (CFA) and structural equation modelling to present a structural model of how pandemic factors affect the Turkish construction industry.