Enhancing BI Systems Application Through the Integration of IT Governance and Knowledge Capabilities of the Organization

Author(s):  
Samir Hammami ◽  
Firas M. Alkhaldi

Over years, research in Management Information Systems (MIS) has resulted in significant implications for organizations in a wide variety of areas by using socio-technical perspective, which has helped to deliver more business focused solutions. This study reports the results of an empirical examination of the effect of IT governance framework based on COBIT and Organizational Knowledge Pillars in enhancing the IT Governance framework (Business / IT Strategic alignment, Business value delivery, risk management, Resource management, performance measurement) to enhance the business intelligence application and usability within the organization. Quantitative method is adopted for answering the research questions. A questionnaire was used for data collection after contacting several companies, in addition confirmatory factor model and structural equation model were developed and tested and the overall results of the empirical investigation supported the general framework. Using confirmatory factor analysis techniques, the effects of the combination between IT governance factors seen by ITGI and organizational knowledge pillars of the firm on BI Systems application in it were tested and confirmed and the models were also verified. Several statistical methods were used for data analysis; moreover different statistical tools as software packages were employed such as SPSS 17 and EQS 6.1. The study proposes that knowledge management (KM) and IT Governance framework are vital organizational abilities that support business intelligence application; it also observes that combination of IT governance framework with organizational knowledge within the firm can enhance the organization’s BI system application and usability, and its goal is to advance the understanding of the relationships among these factors. The study develops and tested two main hypothesizes: (1) IT Governance framework supports business intelligence application. (2) Organizational knowledge, in turn, leads to support business intelligence application.

2021 ◽  
Author(s):  
Alan K Goodboy ◽  
San Bolkan ◽  
, Kellie Brisini ◽  
Denise Haunani Solomon

Abstract Relational uncertainty consists of self, partner, and relationship uncertainty, which are core parameters in relational turbulence theory (RTT). Advances in latent variable modeling allow researchers to examine the multidimensional construct as a bifactor model, including a general factor of relational uncertainty and residualized factors of self, partner, and relationship uncertainty. This advance is theoretically consequential because RTT maintains the importance of distinctions among the facets of relational uncertainty, even while empirical evidence demonstrates considerable overlap among them. In two data sets (college sample, N = 513; married sample, N = 354), competing measurement models specified Relational Uncertainty Scale items as a unidimensional confirmatory factor model, 3-factor independent clusters confirmatory factor model, 3-factor exploratory structural equation model (ESEM), bifactor confirmatory factor model, and bifactor-ESEM. The bifactor-ESEM provided the best fit in both samples, and bifactor statistics clarified how variance from the scale is partitioned to yield essential unidimensionality for the general factor of relational uncertainty, controlling for its residualized factors. Tests of a latent predictive model using a bifactor specification of relational uncertainty were consistent with RTT. Implications for testing communication theory using bifactor-ESEM are discussed in light of these findings.


2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.


2013 ◽  
Vol 34 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Sevtap Cinan ◽  
Aslı Doğan

This research is new in its attempt to take future time orientation, morningness orientation, and prospective memory as measures of mental prospection, and to examine a three-factor model that assumes working memory, mental prospection, and cognitive insight are independent but related higher-order cognitive constructs by using confirmatory factor analysis (CFA). The three-factor model produced a good fit to the data. An alternative one-factor model was tested and rejected. The results suggest that working memory and cognitive insight are distinguishable, related constructs, and that both are distinct from, but negatively associated with, mental prospection. In addition, structural equation modeling (SEM) showed that working memory had a strong positive effect on cognitive insight and a moderate negative effect on mental prospection.


Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 46
Author(s):  
Bazyli Czyżewski ◽  
Agnieszka Sapa ◽  
Piotr Kułyk

Human capital (HC) plays an important role in modern agriculture. The difference in efficiency of assets explains only about a half of the economic performance of agricultural farms, while the other half relies on HC. Although education and training are the main components of HC, it may also be viewed from the perspective of behavioral theories that were taken under consideration in this study. The role of HC in sustainable farming has not been sufficiently explained when it comes to contractual governance (CG). In this study, the meaning of contractual governance was extended and the eco-contractual governance (ECG) concept was proposed, which stands for CG induced by agri-environmental contracts. The main objective of the article is to confirm the latent concepts of HC and ECG and to verify their correlation in view of the standards imposed by the agricultural policy. To achieve this goal, a structural equation model was developed and simultaneous confirmatory factor analysis with ordinal variables was carried out based on the sample of 674 small farms in Poland. The analysis has confirmed a relatively strong correlation between HC and ECG. It was revealed that training plays a crucial role in this relationship, while economic dependence on agricultural policy weakens the effectiveness of both HC and ECG.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gbemi Oladipo Olaore ◽  
Bimbo Onaolapo Adejare ◽  
Ekpenyong Ekpenyong Udofia

Purpose Betting games have become a global industry worth billions of dollars providing employment to millions and contributing to the gross domestic product (GDP) of several countries. While there are debates and controversies surrounding betting games discourse, a growing body of literature shows that it has been exacerbated by growing unemployment rates. This paper aims to examine the nexus between the increasing involvement of youth in betting games and unemployment from the Nigerian perspective. Design/methodology/approach The study adopts simple random and stratified sampling techniques to select participants for the study. Three hypotheses were tested for this study and confirmatory factor analysis (CFA) and structural equation model (SEM) was used to test the hypotheses. Findings The three hypotheses tested in this study were coined from previous literature. The study established a direct link between technology advancement, promises of winning big coupled with bonuses while unemployment was not significant to youth involvement in betting games. The study also showed that playing betting games provides another source of income to the youth, who are already engaged in one form of work or another. Finally, youth involvement in betting games has created awareness regarding different sports in the world, while contributing to Nigeria’s economy. Practical implications As betting games centre as a business in Nigeria has contributed substantially and positively to unemployment in Nigeria; the Government of Nigeria are encouraged to streamline and regulate the activities of the sector such that they can contribute significantly to the country GDP and provide employment opportunities to the youths. Originality/value The research shows that the reason why betting games have a massive turnaround of youths in Nigeria is not majorly because of unemployment but as another means to a substantial financial individual/family income. Thus, Nigerian youths see betting games as an avenue to make more money. The study is the first of its kind to examine the nexus between betting games, technology and unemployment hence, its contribution to knowledge.


2017 ◽  
Vol 33 (4) ◽  
pp. 380-391
Author(s):  
John C. Reed ◽  
George E. Higgins

This study examines complexity as a measure of support for organizational redirection. This study considers whether 16 items (culture, mission, values, decentralization, policies and procedures, administrative reporting practices, weapons, contract, pay, benefits, patrol boundaries, equalization of workload, size of boundaries, communications, 10-codes, and car numbers) appropriately characterized a suppressed measure of complexity related to complex organizational change, a police department merger. The current study utilizes data collected from 390 sworn officers from two merged law enforcement agencies in Kentucky. The results of the structural equation model analysis supported the view that four factors (mission, logistics, benefits, and policy) fashion an underlying construct for measuring complexity related to organizational change/redirection. The implications of these findings are also considered.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Lamidi Lamidi ◽  
Marjam Desma Rahadhini

Penelitian ini bertujuan menganalisis pengaruh inovasi konsumen dengan beberapa faktor yang menjadi penentu niat berperilaku konsumen. Penelitian ini berupaya mengetahui pentingnya inovasi konsumen, dengan mempertimbangkan rasa terima kasih konsumen, citra restoran dalam berinovasi, dan kewajaran harga sebagai variabel mediasi. Penelitian ini merupakan survei. Pengumpulan data menggunakan kuesioner. Populasi penelitian adalah konsumen di wilayah Surakarta. Sampel ditentukan sebanyak 130 responden dengan metode convenience sampling, yaitu konsumen yang melakukan pembelian di SFA Steak & Resto Surakarta. Pengujian validitas menggunakan Confirmatory Factor Analysis (CFA), dan Cronbach’s Alpha untuk uji reliabilitas. Analisis data menggunakan Structural Equation Model (SEM) dengan program Amos. Temuan penelitian menunjukkan bahwa inovasi konsumen berpengaruh terhadap ucapan terima kasih dan citra restoran, tetapi tidak berpengaruh terhadap kewajaran harga; ucapan terima kasih berpengaruh terhadap kewajaran harga dan niat berperilaku; citra restoran berpengaruh terhadap kewajaran harga dan niat berperilaku; kewajaran harga tidak berpengaruh terhadap niat berperilaku. Implikasi penelitian hendaknya SFA Steak & Resto Surakarta perlu mempertimbangkan pembuatan menu-menu baru supaya semakin variatif pilihan konsumen, selain itu karyawan perlu mengucapkan terima kasih setelah memberikan pelayanan kepada konsumen.Kata kunci: inovasi konsumen, rasa terima kasih, kewajaran harga, citra restoran, dan niat berperilaku


2018 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Usep Suhud ◽  
Sheila Maryam Bajunaid

This research aimed to investigate consumers’ intention to repurchase jamu at Jamu Café. Service quality, customer satisfaction, and Word-of-Mouth (WOM) were selected as the predictor variables. In total, 200 participants who purchased jamu at the café were selected conveniently. Data were analyzed using exploratory and confirmatory factor analyses as well as Structural Equation Model (SEM). As a result, service quality influences customer satisfaction significantly. As customers are satisfied, they do word-of-mouth and repurchase. On the other hand, WOM has an insignificant impact on repurchase intention.


Author(s):  
Alessandro Cecchin

While there has been a growing interest in sports analysis in recent years, much research first focused on a classical statistical approach and later on an artificial intelligence approach. This article aims instead to propose a causal inference approach to sports analysis. In particular, the present article intends to review the famous four-factor model proposed by Dean Oliver for assessing the winning ability of National Basketball Association (NBA) teams through a causal inference approach. A structural equation model is used to validate Oliver’s model. The present paper considers the winning percentage and the factors’ statistics over entire seasons from [Formula: see text] to [Formula: see text]. The statistics for the [Formula: see text] season are considered only on a subset of the games. This is because the games played in the Orlando bubble under the particular COVID-19 situation have been regarded as outliers compared to the games played in the other NBA seasons, hence they have not been taken into account. The second goal of the article is to analyse if the fitting ability of the four-factor model changes when it is fitted over the pre[Formula: see text] and post[Formula: see text] basketball eras datasets, considering the year [Formula: see text] as the turning point for the NBA playing style.


2018 ◽  
Vol 15 (4) ◽  
pp. 500-513
Author(s):  
Seniz Özhan ◽  
Nevin Altug ◽  
Eylem Deniz

Purpose The purpose of this paper is to examine the joint effect of two composite characteristics –openness to experience (OE) and nostalgia proneness (NP) – on product involvement (PI) and whether brand loyalty (BL) is a result of this PI. Design/methodology/approach In accordance with this purpose, a model suggesting that OE dimension of the five-factor model and NP influences PI and PI influences BL was developed and tested. The data used in the study were obtained from 1,392 participants from the Thrace region of Turkey. The authors use a structural equation model to test and confirm hypothesis. Findings OE influences PI and hence BL. On the other hand, it has been concluded that NP has no significant influence on PI. Research limitations/implications This is the first study to examine the influence of OE, one of the personality traits, and NP on BL. In this study, only OE, which is one of the five-factor personality traits, has been examined. Studies in the future may research the relationship between other personality traits and NP, PI and BL. Practical implications This paper provides managerial insights into why consumers’ personality traits and NP need to be taken into consideration in creating BL. Originality/value To the best of authors’ knowledge, the influence of OE and NP on BL has not been addressed in the current literature. Personality traits and NP are closely related to individuals’ behaviors as a consumer. Understanding the factors that influence consumer purchase decision processes is of crucial importance to managers and researchers alike. The paper is of great value for firms that consider enhance BL.


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