Search results

E-learning is one area of strategic application of information technology (IT) in the educational field. In the past, massive investments in e-learning systems have neither been necessarily effective nor created value for e-learners. As a result, e-learning systems’ evaluation has become critical. Although many researchers have studied e-learning’s performance evaluation, there is little research on e-learning assessment, which uses pedagogical principles and organizational issues along with information systems (ISs) assessment measures. Thus, the purpose of this study is to consolidate multi-dimensional aspects of e-learning evaluation by applying balanced scorecard (BSC) as a strategic performance measurement method. This study further seeks a solution for designing a systematic approach, in which three equally important considerations must be balanced: organization, pedagogy and technology.

This paper introduces a framework for assessing e-learning systems by using fuzzy analytic hierarchy process (FAHP) and BSC. Owing to the growing use of BSC in strategic management, this study applies its four perspectives as a base for performance evaluation. To identify measures of each perspective, a comprehensive literature review has been conducted. Modifying the list of measures is completed in two phases: first by using a focus group consisting of six e-learning experts, and second, by using a survey analysis conducted among 256 Iranian e-learners. FAHP is applied to weigh and determine the rank-order of the measures.

The results propose integrating pedagogical, organizational and technical measures based on the BSC framework for evaluating e-learning systems. In the proposed framework, effective BSC perspectives and their rank-orders and weights are presented as a guideline for assessing e-learning systems in Iran.

In e-learning initiatives, organizational issues must be considered along with technological and pedagogical factors simultaneously. The proposed framework can assist educational institutions and organizations to identify weaknesses and strengths of e-learning projects and guide them to select appropriate strategies for progress.

A review of the e-learning literature shows that there are few substantive theoretical accounts, which adequately integrate multiple dimensions of e-learning evaluation; yet, most researchers view e-learning evaluation as the most difficult part in the e-learning implementation process. This study proposes a new conceptual framework to evaluate e-learning initiatives systematically. The main contribution of this study is to develop a new systematic approach for e-learning systems’ evaluation that integrates two well-established managerial methodologies (BSC and FAHP), and considers pedagogical, organizational and technological aspects synchronously.

This study aims to present the cost and revenue efficiency evaluation models in data envelopment analysis in the presence of fuzzy inputs, outputs and their prices that the prices are also fuzzy. This study applies the proposed approach in the energy sector of the oil industry.

This study proposes a value-based technology according to fuzzy input-cost and revenue-output data, and based on this technology, the authors propose an approach to calculate fuzzy cost and revenue efficiency based on a directional distance function approach. These papers incorporated a decision-maker’s (DM) a priori knowledge into the fuzzy cost (revenue) efficiency analysis.

This study shows that the proposed approach obtains the components of fuzzy numbers corresponding to fuzzy cost efficiency scores in the interval [0, 1] corresponding to each of the decision-making units (DMUs). The models presented in this paper satisfies the most important properties: translation invariance, translation invariance, handle with negative data. The proposed approach obtains the fuzzy efficient targets corresponding to each DMU.

In the proposed approach, by selecting the appropriate direction vector in the model, we can incorporate preference information of the DM in the process of evaluating fuzzy cost or revenue efficiency and this shows the efficiency of the method and the advantages of the proposed model in a fully fuzzy environment.

On the backdrop of growing importance of Shariah compliant equity markets, the purpose of this paper is to study cross-country portfolio diversification benefits for investors with major trading partners of Saudi Arabia, namely, USA, China, Japan, Germany and India, who have already invested or tend to invest in Saudi Arabian stock market.

The authors have investigated time invariant, dynamic correlations at different investments horizons of the investors among Islamic asset classes by applying relevant econometric techniques like multivariate generalized autoregressive conditional heteroscedastic –DCC and continuous wavelet transforms. For robustness, this study also applied maximal overlap discrete wavelet transform.

The findings tend to indicate that the Saudi Arabian investors have portfolio diversification benefits with all major trading partners in the short-term investment horizon. Interestingly, Saudi Arabian market has the least portfolio diversification benefits with the Chinese market. However, in the long run, all markets are correlated, yielding minimum portfolio diversification benefits and most importantly Saudi Arabian investors have portfolio diversification benefits with the Indian Islamic equity market in almost all investment horizons. The findings are highly consistent across different econometric technique estimations.

The authors are only considering five major trading partners of Saudi Arabia. Also, the authors are using S&P and FTSE shari’ah index. Moreover, the time period of the study is constrained by the availability of shari’ah indices. Econometric limitations are also well documented in the literature.

The results could be beneficial for the investors, portfolio managers, hedge fund managers and institutional investors and also could be useful for the policy makers in their policy-making decisions.

Only very few studies have looked into the benefits of international portfolio diversification from the perspective of local investors as well as the portfolio diversification benefits with the major trading partners of Saudi Arabia. One of the novelties of the method is to make the stock investors, practitioners and policy makers aware of the portfolio diversification benefits available at different time scales such as 4, 8, 16, 32, 64 and 256 trading days as investment holding periods to unveil the true dynamics of co-movement between those different assets.

Despite the huge amount of studies that have investigated the strategy–performance relationships and knowledge management (KM)–performance relationships, there is little consensus regarding the nature of these connections. By reviewing related literature, some notable limitations and inconsistent results are highlighted in extant studies. To address these challenges, this study aims to explore the effects of strategic orientation and KM mechanisms on business performance.

The study conducted an empirical investigation of 227 small- and medium-sized enterprises (SMEs) to explore the relationship between strategy−performance and KM−performance. Business strategy is conceptualized as a comparative construct with six dimensions, KM is conceptualized by two types of KM mechanisms of technical and non-technical KM mechanisms and business performance is measured by four dimensions of balanced scorecard (BSC). The cluster analysis was used to explore different aspects of these three constructs.

Using cluster analysis, the results indicate that firms with high level of analysis, defensiveness, futurity and proactiveness in strategic orientation have better performance and also the high level of both KM mechanisms another important finding shows that firms with more KM mechanisms have high performance and technical mechanisms have more predictor role on performance.

This research also has prescriptive implications for strategic managers and KM practitioners. The finding enhanced the understanding of the relationship between strategic orientations, KM and performance. The results assist managers to assess business performance regarding strategic orientations and KM mechanisms of the firms. Therefore, it helps firms to improve strategic resource allocation and exploit KM investment by considering ideal pattern of the performance.

By reviewing strategic management and KM literature, it is revealed that there are little studies about how the interaction of strategic orientation and KM influences business performance. The main contribution of the study is exploring the profile of the firms by considering their strategic orientation and KM mechanisms and their impact on business performance. This study provides an empirical evidence about interaction of strategic orientations, KM mechanisms and business performance in SME context, which is merely investigated in previous researches.