Search results

This paper proposes an instrument to measure the extent of collaboration in a supply chain consisting of two members, suppliers and retailers.

The proposed model for collaboration incorporates collaborative practices in information sharing, decision synchronisation and incentive alignment. A collaboration index is introduced to measure the level of collaborative practices. A survey of companies in New Zealand was conducted to obtain data to test and evaluate the collaboration index.

The survey results confirmed the reliability and validity of the proposed collaboration index measure for measuring collaboration. The findings also showed that the collaboration index was positively associated with operational performance.

Future research could consider larger sample sizes and cover other industry types.

Supply chain participants will be able to measure the extent of their collaboration and seek improvement in their performance.

This paper contributes to the literature by introducing a new index for measuring the extent of supply chain collaboration. This measure can be used by any participant (member) in a supply chain to identify the level of collaboration and seek improvement.

Measuring the overall success of product development efforts has been frustrating because there is no generally recognized metric to measure effectiveness. The R&D Effectiveness Index is introduced to address this need. It measures effectiveness by comparing the profit from new products to the investment in new product development. Provides the details for calculating the index along with alternative interpretations. Finds a strong relationship between the R&D Effectiveness Index and other performance factors and argues that the R&D Effectiveness Index can be used to compare performance, measure improvement, and evalute business units. Illustrates its application in a case study.

This study aims to empirically compare the performance of Islamic indices vis-à-vis to their conventional counterparts in India.

The performance of the Islamic and selected conventional indices is evaluated using various risk-adjusted performance measures such as Sharpe ratio, Treynor ratio, M-square (M²) ratio, information ratio, capital asset pricing model (CAPM), Fama-French three-factor model and Carhart four-factor model in India context. The period of study is from December 2006 to 2018.

The risk-adjusted performance measures based on the Sharpe ratio, Treynor ratio, information ratio, the M² ratio show that the return of Islamic indices provides slightly superior performance. However, performance investigated using CAPM, Fama-French and Carhart benchmarks produce a statistically insignificant differences in return of the Islamic and conventional benchmarks.

The Sharīʿah-compliant indices can provide a viable, ethical and alternative investment avenue for faith-based investors as it will not make them worse off in comparison to the conventional benchmarks. This also offers opportunity to conventional investors for portfolio diversification. The promotion of faith-based investment can serve as a tool for financial inclusion to attract a huge segment of Indian population in the formal financial system. The findings of the study suffer from the limitation of small sample size and empirical methods used.

This study contributes to the literature on the comparative performance of Islamic and conventional indices in general and emerging markets, in particular, using most recent data and covering a relatively long span of time. To the best of the knowledge, this is the first comprehensive study examining the performance of Islamic indices, using multiple Islamic indices and various risk-adjusted measures in the Indian context.

Governments and funders are increasingly linking the funding of higher education institutions (HEIs) to their performance. Performance indicators (PIs) provide a means to measure and track performance of HEIs. The purpose of this paper is to provide a structured framework for mapping out key PIs and developing a composite index for measuring performance in HEIs.

The paper makes use of the analytic hierarchy process to develop the framework. The application of the framework is demonstrated through a case study.

A structured approach to determining key PIs and developing a composite index in HEIs is elaborated. The framework developed in this paper is consensus-based, knowledge-intensive, and allows input to and ownership of the decision process and its output.

While there are numerous PIs; organizational resources and capabilities to manage these PIs are usually limited. HEIs must manage and improve their performance within their unique contexts. This paper provides a methodology to do so.

The process of mapping out key PIs and developing composite indices for integrated performance measurement are not adequately understood and need further research. The framework discussed in this paper has not been elaborated on in previous publications.

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company’s mechanization and philosophy of management and been in efficiency. But being comply with “New Economic age,” a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It’s a good instrument of financial performance measure mold in the past years, But it’s for measuring the past, couldn’t formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non‐financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

The measure of companies' Innovation Performance is fundamental for enhancing the value and decision-making processes of firms. The purpose of this paper is to present a new measure of Innovation Performance, called Innovation Patent Index (IPI), which makes it possible to quantitatively summarize different aspects of firms' innovation.

In order to define the IPI, a secondary source, i.e. patent data, has been used. The five dimensions of IPI, i.e. efficiency, time, diversification, quality and internationalization have been defined both analyzing the literature and applying three different machine learning algorithms (regularized least squares, deep neural networks and decision trees), considering patent forward citations as a proxy of the innovation performance.

Results show that the IPI index is a very useful tool, simple to use and very promptly. In fact, it is possible to get important results without making time consuming analysis with primary sources. It is a tool that can be used by managers, businessmen, policymakers, organizations, patent experts and financiers to evaluate and plan future activities, to enhance the innovation capability, to find financing and to support and improve innovation.

Patent data are not widely used in all the sectors. Moreover, the pure number of forward citations is not the only forward looking indicator suggested by the literature.

The demand for a useable Innovation Performance tool, as well as the lack of tools able to grasp different aspects of the innovation, highlight the need to develop new instruments. In fact, although previous studies provide several measures of Innovation Performance, these are often difficult for managers to use, do not appreciate different aspects of the innovation and are not forward looking.

Given the lack of focus on a standardized measurement framework (e.g. benchmarking tool) to assess and quantify complexity within the supply chain, this study has developed a unified supply chain complexity (SCC) index and validated its utility by examining the relationship with firm performance. More importantly, it examines the role of firm owners' business knowledge, sales strategy and board management on the relationship between SCC and firm performance.

In this study, the unit of analysis is Indian manufacturing companies listed on the Bombay Stock Exchange (BSE). This research has merged panel data from two secondary data sources: Bloomberg and Prowess and empirically operationalized five key SCC drivers, namely, number of suppliers, the number of supplier countries, the number of products, the number of plants and the number of customers. The study employs panel data regression analyses to examine the proposed conceptual model and associated hypotheses. Moreover, the present study employs models that incorporate robust standard errors to account for heteroscedasticity.

The results show that complexity has a negative and significant effect on firm performance. Further, the study reveals that an owner's business knowledge and the firm's effective sales strategy and board management can significantly lessen the negative effect of SCC.

This study develops an SCC index and validates its utility. Also, it presents a novel idea to operationalize the measure for SCC characteristics using secondary databases like Prowess and Bloomberg.

Describes the means by which the performance of property investments can be measured and analysed. Reports on the results of a questionnaire survey looking into the practice of UK independent property portfolio managers. Suggests that a survey of financial institutions, namely insurance companies and pension funds, would reveal more about the objectives of performance measurement.

The purpose of this study is to determine and compare the performance of small and medium enterprises (SME) and manufacturing company stock portfolios in the Indonesian, Chinese and Indian capital markets by the Sharpe Index and the significance of differences in average performance in the capital market.

This is comparative research that compared the performances of SME and manufacturing company stock portfolios in Indonesian, Chinese and Indian capital markets. The hypothesis examination of comparative test used one-way ANOVA technique on the performance of SME and manufacturing company stock portfolios in Indonesian, Chinese and Indian capital markets. One-way ANOVA test was used in the analysis to test the average difference of performance indices of SME and manufacturing company stock portfolios is in Indonesian, Chinese and Indian capital markets.

The performance of SME and manufacturing company stock portfolios in Indonesian capital market was not better than the performances of IHSG and LQ45 Index, the performance of SME and manufacturing company stock portfolios in Chinese capital market (SZSE) was better than the performance of Shenzhen Composite Index and the performance of Shenzhen A-Share Stock Price Index. The comparison of the performances of SME and manufacturing company stock portfolios in Indonesian, Chinese and Indian capital markets showed that the performance of SME and manufacturing company stock portfolios in Chinese capital market was the best and the performance of SME and manufacturing company stock portfolios in Indonesian capital market was the lowest.

The implication of this study was that SME and manufacturing company stock portfolios had relatively better performances in China and India, so investors should consider investing in SME and manufacturing company stocks. The performance of SME and manufacturing company stock portfolios in Indonesia was not able to exceed market and LQ45 portfolios, so the authority in Indonesia financial market should consider developing a special market for SME and manufacturing company to support the development of SME and manufacturing company in Indonesia and solve the problem of lack of funding source for SME and manufacturing company.

The originality of the present study is in the measurement of the performance of SME and manufacturing company stock portfolio by risk-adjusted return which returns per risk unit measured by Sharpe Index as a more beneficial measurement in measuring stock portfolio performance than average return. Comparative study of the stock portfolio performances of small medium enterprises and manufacturing company In Indonesian, Chinese and Indian stock markets, and object studies conducted in Indonesia, China and India.

This paper aims to examine the performance of Islamic and conventional stocks listed at the Pakistan Stock Exchange by using both parametric and non-parametric approaches. The motivation is to do risk-return analysis of Islamic stock prices and conventional stock prices.

It uses various measures of performance, e.g. Sharpe ratio, Treynor ratio, Jensen's alpha, beta, generalized auto-regressive conditional heteroskedasticity and stochastic dominance. Using the Karachi Meezan Index-30 (KMI-30) and the Karachi Stock Exchange Index-30 (KSE-30) as proxies for Islamic and conventional stock prices, respectively, it examines the performance of Islamic and conventional stocks. The daily data of KMI-30 and KSE-30, covering period from June 9, 2009 to June 20, 2020 are used.

The results show that the overall KMI-30 outperforms the KSE-30. The returns of the KMI-30 are greater than the KSE-30. However, the risk and volatility of the KMI-30 and KSE-30 are similar. Further, the KMI-30 has higher excess returns per unit of total risk than the KSE-30. But both indexes have similar excess returns per unit of systematic risk. Moreover, the KMI-30 returns have stochastically dominance over the KSE-30 returns. These results reveal that the Islamic index performs better than the conventional index.

The findings provide several practical implications in financial and investment decisions making by investors, managers and policymakers such as strategies for asset allocation and investment. Further, in risk management, it provides guidance for allocating portfolios and managing risk. The investment in Islamic stocks may mitigate potential risk within asset portfolios.

This research is unique in its approach to the analysis of the performance comparison of conventional and Islamic stock by using comprehensive parametric and non-parametric estimation techniques. Such research has not been undertaken in the Pakistan's equity market since.