scholarly journals Elucidating the determinants of business intelligence adoption and organizational performance

2018 ◽  
Vol 36 (1) ◽  
pp. 78-96 ◽  
Author(s):  
Veera Bhatiasevi ◽  
Michael Naglis
Keyword(s):  
Organizational Performance ◽  
Business Intelligence ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Management Support ◽  
Top Management Support ◽  
Firm Maturity ◽  
Positive Effect

This research is one of the first few to investigate the adoption and usage of business intelligence among SMEs in the context of developing countries, in this case Thailand. Based on the three-pronged approach it proposes a comprehensive model that integrates the technology-organization-environment framework and the balance scorecard approach in order to better understand the degree of influence that each factor has on the adoption of business intelligence as well as the organizational performance among SMEs in Thailand. The results of the structural equation modeling show that compatibility, technology readiness, top management support and competitive pressure posited a positive relationship towards business intelligence adoption. The adoption of business intelligence had a positive effect on internal process and learning and growth in terms of organizational performance. A multi-group analysis was also performed focusing on firm maturity and sectors to understand the behavior towards business intelligence as well as organizational performance. Discussions and conclusions including theoretical and practical implications are also presented.

M-Commerce Adoption in SMEs of China

2018 ◽  
Vol 16 (2) ◽  
pp. 48-63 ◽  
Author(s):  
Liwei Li ◽  
Xiaohong Wang
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Top Management ◽  
Institutional Pressures ◽  
Management Support ◽  
Top Management Support ◽  
Intention To Adopt ◽  
Positive Effect

Based on the institutional theory, this article explores how institutional pressures motivate firms to adopt m-commerce, and how such effects are mediated by top management. Structural equation modeling with partial least square is used to analyze valid data from 204 small and medium-sized firms in China. The empirical results manifest as: mimetic pressures, coercive pressures, normative pressures which could directly affect a firm's intention to adopt m-commerce while coercive pressures and normative pressures have a positive effect on top management support. Top management support partly mediates the influence of two institutional pressures, coercive pressures and normative pressures, on the adoption intention of m-commerce. The final implications of the findings for research and practice are discussed.

Investigating the Factors Affecting Business Intelligence Systems Adoption

2017 ◽  
Vol 8 (2) ◽  
pp. 1-25 ◽  
Author(s):  
Acheampong Owusu ◽  
Abbas Ghanbari-Baghestan ◽  
Abdolhossein Kalantari
Keyword(s):  
Business Intelligence ◽  
Diffusion Of Innovations ◽  
Structural Equation ◽  
Private Universities ◽  
Equation Modeling ◽  
Management Support ◽  
Factors Affecting ◽  
Top Management Support ◽  
Factors Influencing ◽  
Business Intelligence Systems

This study explores the factors influencing the adoption of Business Intelligence Systems (BIS) in Higher Educational Institutions (HEIs), and also evaluate the extent of adoption in the universities. A research framework was developed based on the Technology-Organization-Environment (TOE) framework and the Diffusion of Innovations (DOI) theory, comprising of ten factors which were hypothesized and tested for the adoption of BIS in HEIs. Data was collected through a paper survey questionnaire from a sample of 120 managers and academicians in twelve private universities in Selangor State, Malaysia which were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that Absorptive Capacity, Competitive Pressure, Complexity, IT Infrastructure, Presence of Champion, Top Management Support, and Vendor Selection, are the factors influencing BIS adoption in the universities. The results also indicate that most private universities in Malaysia are currently involved in level 2 of BIS adoption. Other implications are also discussed.

Development and validation of an instrument for multidimensional top management support

2017 ◽  
Vol 66 (7) ◽  
pp. 873-895 ◽  
Author(s):  
Riaz Ahmed ◽  
Noor Azmi bin Mohamed
Keyword(s):  
Organizational Performance ◽  
Structural Equation ◽  
Online Survey ◽  
Least Square ◽  
Equation Modeling ◽  
Top Management ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
Development And Validation

Purpose Literature reveals that there is a paucity of instruments to measure multidimensional top management support (TMS). The multidimensionality and the complexity of the TMS cannot be reflected by a single-dimensional construct. The purpose of this paper is to develop and validate an instrument for the measurement of multidimensional TMS. Design/methodology/approach In this cross-sectional study, exploratory and confirmatory factor analyses were performed to check the validity and model fitness based on sample data collected from the PMI community. Ordinary least square and structural equation modeling techniques were used to test the research hypotheses and validate multidimensional TMS. Findings The findings revealed a significant positive correlation among all dimensions of top management and their significant influence on project success, especially on project efficiency and team dimensions. Research limitations/implications Based on the existing knowledge through a coherent and refined process, the development and validation of a top management support questionnaire (TMSQ) made a significant contribution to theories and research methods. Practical implications Multidimensional TMS provides an opportunity to ensure provision of apt assistance throughout the implementation of projects for improving organizational performance across the industries. Originality/value This study targeted a sample size of 300 to develop and validate an instrument, which is in line with previous research studies on the development and validation of a reliable instrument. To operationalize TMSQ, this study adopted an online survey and received 208 responses (69 percent) from the PMI community.

Determinants of perceived success in management consulting

2016 ◽  
Vol 39 (6) ◽  
pp. 706-738 ◽  
Author(s):  
Matias Bronnenmayer ◽  
Bernd W. Wirtz ◽  
Vincent Göttel
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Equation Modeling ◽  
Management Consulting ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
Management Consultants ◽  
Order Construct ◽  
Sorting Test

Purpose This paper aims to conceptualize perceived management consulting success, derive relevant success factors based on principal-agent theory and the resource-based view as well as investigate the particular factors’ influence. Management consulting has become important for improving the competitiveness of a variety of firms. Surprisingly, there is little empirical evidence clarifying what constitutes a successful management consulting project. Design/methodology/approach The authors conduct a survey to empirically investigate the hypotheses. They develop the survey instrument through a literature review, expert interviews, a pre-test and an item-sorting test. To analyze the data from 348 management consultants, the authors apply structural equation modeling. Additionally, they choose a triangulation approach by asking secondary informants about the originally surveyed consultants’ responses. Findings Initially, the authors develop the second-order construct perceived management consulting success, consisting of the factors compliance with budget and schedule, degree of target achievement, profitability as well as expansion and extension. Additionally, they develop an understanding of management consulting’s success factors. In this regard, five of six factors show a significant impact on perceived management consulting success. Originality/value According to the results, the factor intensity of collaboration is of highest importance for perceived management consulting success. Further, the factors common vision, consultant expertise and top management support show comparably strong significant influences. Yet, the authors have to reject the hypothesis about trust. This result conveys the complicacy of the consultant–client relationship and shows that building a trustful relationship between both parties is hard to accomplish.

scholarly journals The key role of institution pressure on green supply chain practice and the firm's performance

2019 ◽  
Vol 12 (3) ◽  
pp. 432
Author(s):  
Jirawat Wongthongchai ◽  
Krittapha Saenchaiyathon
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Equation Model ◽  
Green Supply Chain ◽  
Management Support ◽  
Significant Positive Effect ◽  
Top Management Support ◽  
Environmental Processes ◽  
The Impact ◽  
Positive Effect

Purpose: This study was conducted to investigate the influence of isomorphism institutional theory on green supply chain management (GSCM) and firm performance by using the structural equation model (SEM) to explain the driving factors of reducing the impact of environmental processes on the firm.Design/methodology/approach: Structural equation model (SEM) to explain the driving factors of reducing the impact of environmental processes on the firm.Findings: Isomorphism institutional factors showed a statistically significant positive effect on GSCM practices. Moreover, GSCM practices showed a statistically significant positive effect on firm performance. Under the literature review, customer pressure and top management support are primary factors to achieve GSCM practices and potential to establish firm performance.Research limitations/implications: First, the common hypothesizes do not provide insight into all the relationships that warrant additional inspection. Second, Thailand manufacturers have experiences pressures from foreign customers and competitors but they have opportunities to learn from them to better improvement GSCM practices.Practical implications: Results may highlight pressure for greening and which more efforts are needed for GSCM practices. GSCM practices generally require more effort due to need for collaborating with customer and competitor. Thailand manufacturers are increasingly confronted with isomorphism institutional pressure to implement GSCM practices.Social implications: It is useful the Thailand government promotes GSCM by creating an awareness of the benefits. GSCM can help to alleviate the question of the followers about implementing GSCM and decrease their risk association with the environmental adoption.Originality/value: Research creates clarity of the relationship between isomorphism institutional pressures, top management support, and performance in Thailand, which is a developing country with environmental investment concerns that affect profits from the operations of the firm.

scholarly journals Business intelligence and organizational performance

2020 ◽  
Vol 26 (6) ◽  
pp. 1709-1730
Author(s):  
Dalia Suša Vugec ◽  
Vesna Bosilj Vukšić ◽  
Mirjana Pejić Bach ◽  
Jurij Jaklič ◽  
Mojca Indihar Štemberger
Keyword(s):  
Organizational Performance ◽  
Business Intelligence ◽  
Structural Equation ◽  
Process Management ◽  
Positive Impact ◽  
Measurement Instrument ◽  
Business Value ◽  
Equation Modeling ◽  
Content Type ◽  
The Impact

PurposeOrganizations introduce business intelligence (BI) to increase their performance, but often, this initiative is not aligned with the business process management (BPM) initiative, which also aims to improve organizational performance. Although some findings from the literature indicate that BI implementation has a positive impact on organizational performance, the impact seems to be indirect. Therefore, the purpose of this study is to enhance the understanding of how BI maturity is translated into organizational performance. Alignment of BI and BPM initiatives seems one possible way for creating business value with BI, particularly because BI enables process performance measurement and management, which allows the BI initiative to become more business focused.Design/methodology/approachA questionnaire was prepared and used to collect data in Croatian and Slovenian organizations with more than 50 employees. A BI–BPM alignment measurement instrument was developed for the purpose of this study using the recommended process of scale development and validation. A total of 185 responses were analyzed by the structural equation modeling technique.FindingsOur results provide evidence that the effect of BI on organizational performance is fully mediated by alignment of BI and BPM initiatives, and therefore, BI business value can be generated through the use of common terminology and methodologies, as well as a strong communication between BI and BPM experts, managers and teams in order to coordinate the two initiatives.Originality/valueThis study has responded to the call for better understanding of how the impact of BI on organization performance is realized. It confirmed that BI and BPM initiatives should be aligned in order to give BI a business value.

Firms’ continuance intention on SaaS use – an empirical study

2019 ◽  
Vol 32 (1) ◽  
pp. 189-216 ◽  
Author(s):  
Ricardo Martins ◽  
Tiago Oliveira ◽  
Manoj Thomas ◽  
Sara Tomás
Keyword(s):  
Diffusion Of Innovation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Management Support ◽  
Continuance Intention ◽  
Firm Level ◽  
Diffusion Of Innovation Theory ◽  
Content Type ◽  
Top Management Support ◽  
Risk Framework

Purpose Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of this paper is to propose a theoretical model that integrates the technology-organization-environment framework, institutional theory, diffusion-of-innovation theory and the opportunity-risk framework to analyze the drivers of SaaS use and its continuance intention. Design/methodology/approach The authors evaluated the direct, moderating and mediating effects of determinants on SaaS continuance intentions using structural equation modeling and data from 301 firms. Findings Results found that top management support and normative pressures influenced SaaS use. Cost saving and security concerns were direct predictors of perceived opportunities and perceived risks, respectively. Perceived opportunities and risks and actual SaaS use influenced SaaS continuance. Interestingly, perceived opportunities were found to be a negative moderator on the relationship between SaaS use and SaaS continuance. Originality/value The results reveal insightful and controversial findings for SaaS research.

The Adoption Drivers of Web-Based B2B Systems

2017 ◽  
Vol 29 (2) ◽  
pp. 67-81 ◽  
Author(s):  
Khaled Saleh Al-Omoush
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Top Management ◽  
Institutional Pressures ◽  
Management Support ◽  
Institutional Perspective ◽  
Web Based ◽  
Nondurable Goods ◽  
Top Management Support ◽  
The Impact

The purpose of this research is to examine the drivers of Web-based B2B systems adoption from an institutional perspective by means of comparison between durable and nondurable goods-producing industries. A questionnaire survey was developed to collect data from manufacturing firms. Structural Equation Modeling using EQS was conducted to analyze the data. Results revealed that the durability characteristic of goods produced plays a moderating role in the impact of institutional pressures on the top management support of Web-based B2B systems adoption. Results also indicated that top management support, and B2B relationship quality have a direct impact on the extent of adoption and use of Web-based B2B systems. The present study contributes to the continuing discussion about why organizations respond differently to institutional pressures and vary in the level of use of Web-based B2B applications.

How Business Intelligence Creates Value

2013 ◽  
Vol 4 (3) ◽  
pp. 16-31 ◽  
Author(s):  
Nir Yogev ◽  
Adir Even ◽  
Lior Fink
Keyword(s):  
Organizational Performance ◽  
Business Intelligence ◽  
Structural Equation ◽  
Business Processes ◽  
Business Value ◽  
Equation Modeling ◽  
Unique Contribution ◽  
Resource Based View ◽  
Value Contribution ◽  
The Impact

This study examines the business value associated with business intelligence (BI) systems, based on the premise that business value is largely contingent on system type and its unique contribution. The study adopts a process-oriented approach to evaluating the value contribution of BI, arguing that it stems from improvements in business processes. The study develops and tests a research model that explains the unique mechanisms through which BI creates business value. The model draws on the resource-based view to identify key assets and capabilities that determine the impact of BI on business processes and, consequently, on organizational performance. Analysis of data collected from 159 managers and IT/BI experts, using structural equation modeling (SEM) techniques, shows that BI largely contributes to business value by improving both operational and strategic business processes.

Top management support, inter-organizational relationships and external involvement

2014 ◽  
Vol 114 (4) ◽  
pp. 526-549 ◽  
Author(s):  
Taiwen Feng ◽  
Gang Zhao
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Prior History ◽  
Top Management ◽  
Management Support ◽  
Organizational Relationships ◽  
Content Type ◽  
Top Management Support ◽  
Customer Involvement ◽  
Supplier Involvement

Purpose – The purpose of this paper is to examine the effects of top management support (TMS) and inter-organizational relationships (IORs) on external involvement (EI), and their differences across different ownerships. Design/methodology/approach – To test the research hypotheses, structural equation modeling was conducted using data from 176 Chinese manufacturing firms. Findings – TMS enhances relationship with customers and relationship with suppliers. Relationship with customers increases the degree of customer involvement, while relationship with suppliers increases the degree of supplier involvement. In addition, TMS improves customer involvement while does not improve supplier involvement directly. A further analysis reveals that the relationship between TMS and supplier involvement is partially mediated by relationship with suppliers in Chinese-controlled firms, whereas it is completely mediated by relationship with suppliers in foreign-controlled firms. Moreover, the effect of relationship with suppliers on supplier involvement is stronger in foreign-controlled firms than in Chinese-controlled firms. Research limitations/implications – This study employed perceptual data from a single respondent in each firm. In addition, the data used in this study were collected from one side of the dyad: the manufacturers. Practical implications – Both Chinese-controlled and foreign-controlled firms should get support from top management and develop close relationship with customers and suppliers to improve EI. Originality value – This study extends our knowledge in the field by examining how TMS and prior history of IORs can improve the degree of EI.

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