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The purpose of this paper is to understand the decision process of enterprise software acquisition. The research aims to focus on identifying significant influences on enterprise software acquisition decisions.

As a research model and theoretical background, the organizational buying model (OBB) is proposed for the acquisition of enterprise systems. Influences on enterprise software acquisition decision processes were found by an empirical study carried out from a practitioner's perspective. The study collected data via a mail survey administered to information systems (IS) professionals involved in the acquisition of enterprise software (ES). The survey questionnaire was developed based on a previous research project and a literature review. Organizational buying behavior (OBB) models in the literature served as the basis for the influences included in the survey instrument. Factor analysis was carried out on the survey data to identify the most significant factors/influences.

The following five factors emerged as significant influences on the acquisition decision process of enterprise software: ES strategy and performance; BPR and adaptability; management commitment and user buy‐in; single vendor integrated solution; and consultants, team‐location, and vendor's financing. These factors are discussed and managerial implications are extracted. Conclusions are derived from the study findings and guidelines for further research are suggested.

The present study provides a starting point for further research in understanding a more comprehensive list of influences on enterprise software acquisition. A bigger sample from more industries is required to examine whether the significance of the influences remains stable.

Using OBB models has proven to be useful for organizations in making effective decisions on enterprise software acquisition.

This study aimed to explain how a framework could be developed for (1) the preliminary estimation of project safety level (PSL) in current projects, (2) the estimation of the maximum possible PSL using limited financial resources and (3) the estimation of the minimum financial resources required for reaching a specific PSL.

The data of 95 steel structural building projects were collected via a questionnaire to evaluate the proposed framework for the Iranian construction industry. Based on unofficial local construction statistics and literature reviews, six safety influential factors (SIFs) were selected to which a cost could be assigned. The costs associated with various levels were also determined for each SIF through literature reviews and expert interviews. A multiple linear regression (MLR) model was developed as a predictive model to determine PSL for future projects based on the data of previous projects. Moreover, linear programming (LP) was applied to take modeling constraints and project conditions into account.

The results demonstrated the impacts of all the factors on PSL and the model's potential for the preliminary estimation of PSL using SIFs. The results also indicated that a higher PSL could be achieved by optimizing the allocation of financial resources to each SIF.

This study contributes to the existing body of knowledge by developing a step-by-step framework to identify an optimal safety cost allocation (OSCA) to achieve the maximum possible PSL using a limited safety budget and considering the data of similar projects. The main objective was to promote project safety, decrease construction site injuries and fatalities and help local construction industries exploit potential financial advantages.

The authors seek to better understand the critical incidents and factors that influence the switching behaviours of back pain sufferers who use mainstream and/or complementary and alternative medicine (Edvardsson, 1998). That is, the purpose of this paper is to uncover how they switch between treatments and treatment providers; in particular, this research investigates two issues: the triggers of their switching and their switching paths, and how their emotions are involved in that switching. The contribution is the first empirical foundation for an understanding of these two issues in the context of back pain.

The qualitative technique of convergent interviewing was used. It involved conducting a series of long, initially rather unstructured interviews to converge on the important topic areas to the back pain sufferers and why they engage in their treatment behaviour.

This study investigated the triggers and categories of triggers that impact upon switching behaviours between bio-medical and CAT healthcare. Four main areas of findings were identified. First, although the literature identified four categories of triggers for switching, namely, situational, reactional, influential and personal characteristics, the findings of this research confirmed only two of these: reactional and situational triggers. The influential category of triggers was found to be more of a moderating factor between switching triggers and switching behaviours rather than a trigger factor on its own. Further, no evidence came to light that could confirm or disconfirm the roles of personal characteristics on switching behaviour and so this issue remains unresolved.

The methodology used in this research was an exploratory one and so the findings must be used with caution. Further research, using a more quantitative methodology, is warranted to confirm the findings of this research. Also, this research focused on a subset of switching issues and so might not provide a holistic framework. Future investigations should therefore consider and clarify the role of emotion, time and voice in the switching model devised from this study.

This paper provides new evidence on the reasons for back pain sufferers consuming different treatment modes and the reasons for their switching and includes an exploratory investigation of the role of emotions in this decision making.

Despite the undeniable need for innovation in hospital building design, the literature highlights the disconnect between research and practice as the primary knowledge gap hindering such innovation. This study shows this focus to be an oversimplification, for the complex processes that trigger design innovations and impact their ecosystems need to be examined from a systemic perspective. This paper aims to conceptualise the evolution of hospital building design and identify and explain the main factors triggering design and construction innovations over the past 100 years.

A novel hybrid research design to mixed grounded theory (MGT) methodology, with Charmaz constructivist paradigm, is developed as a new systematic way of constructing and interpreting the concepts and interconnections among them that triggered design innovation.

This study represents a taxonomy of concepts and an explanatory innovation framework, containing 617 interconnections between 146 factors classified across 14 categories. The complex innovation ecosystem comprises multi-faceted processes between heterogenous factors with both individual and collective impacts on design innovations.

This research highlights the main components of the innovation ecosystem and its overall behaviour in this field, and the most influential and interrelated contextual factors, as well as representing and mapping generative interactions that support innovation processes. This knowledge can help hospital researchers, designers, policymakers and stakeholders adopt a multidimensional outlook to analyse the strength of all influential factors, introduce potential novel ways of collaborating, conceptualise an organisational approach, re-formulate research questions through transdisciplinary methods and introduce interdisciplinary courses and programs in architecture schools, thereby contributing to timely design innovation.

The reasons for Islamic bank preferences have been extensively covered in the literature where religion has been depicted as a strong factor. In the limited number of accounts on this subject in Turkey, it was found that religiosity is a major factor in the selection of Islamic banks.

This study evaluates the findings of a major field work performed in the period between March and May 2011 in Eskisehir with the participation of Islamic bank customers. In the study, a sample of 500 respondents was used and a semi-structured survey was conducted.

According to the findings, religiosity is not the most significant and leading factor in Islamic bank preference; instead, it was found as the fourth most important factor. The study finds that recommendation by friends and relatives is the most significant factor for the people in preferring Islamic banks. The nationalist-conservative people make stronger reference to the religiosity as a factor than the secular-modernist and leftist-social democrat people do. Socioeconomic status is not found as a significant factor in the Islamic bank preference. People in advanced age, men, people with lower income and businessmen/artisan rely on the religiosity in Islamic bank preference as a factor stronger than people from other backgrounds.

In conclusion, it could be said that there is a strong relation of substitution between Islamic banks and conventional banks in Turkey and that the Islamic banks play significant role in inclusion of the people staying out of the banking system due to religious concerns and considerations in the financial system.

It is very comprehensive, both politically and economically, to handle the issue of Islamic banking.

The purpose of this paper is to explore influential factors of global broadband adoption by examining adoption factors – such as platform competition, information and communication technology (ICT) use, content, broadband speed, income, population density, education, price, and local loop unbundling (LLU).

The paper examines influential factors of global broadband adoption; it also employs regression analysis and one‐way ANOVA (Analysis of Variance). A total of 110 observations were employed for multiple regression analysis and 159 observations were used for one‐way ANOVA.

The findings in the paper show that platform competition, LLU, broadband speed, information and communication technology use, and content contribute to global broadband adoption. The impacts of platform competition are strong when market share of dominant technology and non‐dominant technology is similar.

The main findings of this paper suggest policy and strategy implications to policy‐makers and broadband service providers. This is unsponsored research that adds to the growing scholarship addressing broadband deployment factors on a comparative, international level.

The purpose of this study is to offer service practitioners evidence about: the factors that financial institutions consider in order to evaluate the impact on the entire company of an eventual decision to eliminate a financial service from the range; the degree of influence that these factors exert on management; and the contextual conditions that shape the above degree of influence.

The research is based on 20 in‐depth interviews with higher echelon managers from an equal number of UK financial institutions and a mail survey of 112 specific elimination case histories from an equal number of UK banks, building societies and insurance companies.

The impact of a financial service's eventual elimination on the relationships of the company with its customers is rated as the most influential evaluation factor. Other influential evaluation factors are the impact on the public image of the financial institution and the impact on the sales and the profitability of other financial services in the range. However, the degree of influence is largely situation specific.

The implications are twofold. First, in managers' attempts to project the impact of a financial service's eventual elimination from the range they may avoid imitating competitors. Second, managers may avoid being mechanistic in evaluating the impact of eventual elimination decisions.

This paper represents the first empirical attempt to shed light on the way in which service companies evaluate the impact of a service's elimination from the range.

This paper aims to report a number of factors that are perceived by web users as influential elements in their search procedure. The paper introduces a new conceptual measure called “web search efficacy” (hereafter WSE) to evaluate the performance of searches mainly based on users' perceptions.

A rich dataset of a wider study was inductively re‐explored to identify different categories that are perceived influential by web users on the final outcome of their searches. A selective review of the literature was carried out to discover to what extent previous research supports the findings of the current study.

The analysis of the dataset led to the identification of five categories of influential factors. Within each group different factors have been recognized. Accordingly, the concept of WSE has been introduced. The five “Ss” which determine WSE are searcher's performance, search tool's performance, search strategy, search topic, and search situation.

The research body is scattered in different areas and it is difficult to carry out a comprehensive review. The WSE table, which is derived from the empirical data and was supported by previous research, can be employed for further research in various groups of web users.

The paper contributes to the area of information seeking on the web by providing researchers with a new conceptual framework to evaluate the efficiency of each search session and identify the underlying factors on the final outcome of web searching.

This paper seeks to investigate the effects of different influential factors on consumer perceptions of uncertainty for online shopping.

In this research, consumer perceptions of uncertainty have been divided into perceived commodity uncertainty and perceived seller's behavior uncertainty, and the influential factors concerned are experienced commodity attributes, online communication, buyer's comments, and the warrants of the consumer to consumer (C2C) operator. Based on the theoretical framework, this paper takes a structural evaluation model to analyze the research hypotheses.

Taking TAOBAO.com as an example, the empirical research results indicate that perceived commodity uncertainty can be reduced by all the influential factors directly, and the perceived seller's behavior uncertainty can be reduced by online communication. In addition, the results also show that the perceived seller's behavior uncertainty can significantly affect the buyers' will, and perceived commodity uncertainty can indirectly affect the buyers will through the perceived seller's behavior uncertainty.

Based on the empirical results, the paper argues that in order to effectively reduce the seller's behavior uncertainty and eliminate information asymmetry, the main issues C2C are faced with currently is to establish a more comprehensive protection mechanism and to develop more equitable trade rules.

Compared with previous research on risk and uncertainty, this paper provides experimental analysis of the consumer perceptions of uncertainty for online buyers. It reveals the effects of different influential factors on the perceived uncertainty of consumers, which would help to explain the online consumer's behavior. Furthermore, the results from this research can enrich the understanding of the theory of risk.

The main purpose of this paper is to propose a new approach to determine the project activities weight factors using data envelopment analysis. Afterward, the model is applied in Mobarkeh Steel Company as a case study. Accordingly, the project schedule and plans can be written on the basis of the gained weight factors.

This study proposed an approach to determine the weights of activities using Data Envelopment Analysis. This approach consists of four phases. In the first phase, project activities are extracted based on the work breakdown structure. In the second phase, the parameters affecting the importance of activities are determined through a review of the related literature and based on the experts' opinions. In the third phase, the proper data envelopment analysis model is chosen and the inputs and outputs are signified. Then, the activities' weights are determined based on the efficiency numbers. Finally, the model is solved for the case of Isfahan Mobarakeh Steel Company.

The proposed method aimed to calculate the project activities weight factor. Thus, influential parameters on project activities importance include activity duration, activity cost, activity importance which includes successors and predecessors, activity difficulty which includes skill related (education and experience), safety, communication rate, intellectual effort, physical effort, unfavorable work conditions and work related hazards, have been recognized. Then, Projects' data were extracted from the organizational expert's opinions and recorded data in documents. Thereupon, applying DEA, the activities weight factor were calculated based on the efficiency numbers. The results show that the model is applicable and has promising benefits in real-world problems.

Planning is one the most fundamental steps of project management. The ever-growing business environment demands for more complex projects with larger number of activities wants more efficient project managers. Organizational resources are limited; therefore, activities planning is a critical from the perspectives of both managers and researchers. Knowing the importance of the activities can help to manage activities more efficient and to allocate time, budget, cost and other resources more accurate. Different elements such as cost, time, complexity, and difficulty can affect the activity weight factor. In this study, the proposed approach aims to determine the weights of activities using Data Envelopment Analysis.