Archive for: ‘December 2015’

Social Marketing Mix Dimensions as Determinants of Brand Loyalty: A Case Study

December 7, 2015 Posted by admin

Hadi Teimouri, Sima Ebrahimi, Marzieh Rezaei,
Kouroush Jenab and Sam Khoury

Management Department, University of Isfahan, Isfahan, Iran
College of Aeronautics, Embry-Riddle Aeronautical University
Daytona Beach, FL, USA
College of Business, Athens State University, Athens, AL, USA

Abstract
The purpose of this study is to explore the relationship between the dimensions of social marketing mix and brand loyalty. The dimensions of social marketing considered in the study include proposition, cost of participation, accessibility to a place, policy, public, and social communication. The statistical population for the study includes all customers of Naein hand-woven carpet in Isfahan city. A random sampling method was used to select a sample from the population for the study. The data used for statistical analyses and hypotheses testing was collected from 380 customers using survey questionnaire. Six hypotheses were constructed to test the relationship between each of the six dimensions of social marketing and brand loyalty. All the six hypotheses were tested using structural equation models. The results show that there is relationship between each of the dimensions and brand loyalty while they (the results) indicated that there is no relationship between brand loyalty and each of the remaining two dimensions, namely; accessibility to a place and policy.

Keywords: Social Marketing, Social Marketing Mix, Brand, Brand Loyalty

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Measurement Error Effect on the Power of ANOM Control Chart for Doubly Truncated Normal Distribution under Standardization Procedure

December 7, 2015 Posted by admin

Ashit B. Chakraborty and Anwer Khurshid
Department of Statistics, St. Anthony’s College, Shillong, Meghalaya, India
Department of Mathematical and Physical Sciences, College of Arts and Sciences,
University of Nizwa, P. O. Box 33, PC 616, Birkat Al Mouz, Oman

Abstract
Recently Chakraborty and Khurshid (2015) studied the effect of measurement errors on the power of control chart for doubly truncated normal distribution (DTND). The present article investigates the effect of measurement errors in ANOM type control chart for DTND based on standardized normal variate. Expressions for the power of control chart and average run length have been obtained to examine the effect of the errors. The results of the study reveal that relative measurement errors tend to increase as the standard deviation of the measurements increases. The results also show that the corresponding values of the power of detecting changes in the values of process parameters decrease when the values of relative measurement errors increase.

Keywords: ANOM (analysis of means), measurement error, misclassification, doubly truncated normal distribution, power.

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Supplier Selection: Impact of Multi-Tier Supplier Visibility

December 7, 2015 Posted by admin

Festus O. Olorunniwo*, Joel K. Jolayemi and Chunxing Fan
Department of Business Administration, College of Business
Tennessee State University, 330 10th Ave. N
Nashville, TN 37203, USA

Abstract
This paper addresses the practice of maintaining lower-tier supplier visibility (LTSV) whereby an Original Equipment Manufacturer (OEM) may select its firsttier suppliers by taking into account the performance and capabilities of their lower-tier suppliers. The paper divides the participating companies into LTSV and non-LTSV firms, depending on whether they maintain lower-tier visibility on their suppliers or not, respectively. Then, with respect to four types of suppliers (strategic, custom, collaborative, and commodity), the paper examines the importance of several evaluation criteria for LTSV and non-LTSV firms. Three research issues were addressed. The first examines the decreasing order of importance of the evaluation criteria for LTSV firms and non-LTSV firms. The second examines whether LTSV firms have significantly different expectations of some of the evaluation criteria compared to non-LTSV firms. The third explores whether the significant differential expectations, if they exist, are maintained for a given evaluation criterion across all types of supplier segments. The findings constitute recommendations for good practice especially for companies seeking multi-tier supplier visibility.

Keywords: Supply Chain Management, Supplier Relationship Management, Supplier Segmentation, Supplier Evaluation.

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Probabilistic Group Replacement Models: Retrospective and Prospective Approaches

December 7, 2015 Posted by admin

Abraham B. Alabi-Labaika
Department of Business Administration, University of Lagos
Akoka, Yaba, Lagos, Nigeria.

Abstract
There are certain items such as fluorescent tubes, bulbs and fuse which do not deteriorate but fail suddenly and completely after a certain amount of use. This kind of failure is analysed by the method called group replacement theory. Group replacement involves periodic and simultaneous replacements along with individual replacements. In this research, a technique for calculating the current probabilistic group replacements using only one equation, without referring to past replacements, as it is currently done, has been developed. A more general form of this one-equation model is difficult to obtain. Hence a tabular of a small sample for practical purposes has been suggested and demonstrated in this research. A sequence of replacementsurvivor trees has also been developed. This is an alternative to the tabular failure-tree approach that is already in use. It is easier in that there are only two branches at every trunk of the tree as opposed to the existing one with many branches which are not easily followed. Using cumulative probability to calculate replacements shows a normal-probability-distribution tendency with a maximum turning point or maximum number or replacements. This information about maximum number of replacements can be very useful to managers in making replacement policy decisions.

Keywords: maintenance, replacement- survivor tree, normally-distributed replacement, production process, operations research

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Measuring Service Quality of Internet Banking Portal in India

December 7, 2015 Posted by admin

Mahendra S. Sharma and Nirav B. Halvadia
Faculty of Management Studies, Ganpat University
Mehsana, Gujarat-384001, India.

Abstract
This study investigates the impacts of variuous internet banking portal service quality dimensions on overall internet banking portal service quality.The research used the dimensions of online service quality, internet banking service quality and web portal service quality to develop a framework that can be used to measure internet banking portal service quality in India. Data for the research was collected from a sample of 400 bank customers of some selected Indian public and private banks who use internet banking portal. Ten dimensions of internet banking portal service quality are identified. These include information quality, website design, ease of use, reliability, security and privacy, interactive interrogation, personalization/customization, basic service quality, other financial products’ service quality and added values. Some Path analyses were done. The results of the analyses show that added values, ease of use, personalization/customization, website design, interactive interrogation and other financial products’ service quality have significant impact on overall internet banking portal service quality. This indicates that these are good and important dimensions for measuring or predicting internet banking portal service quality. Our findings from the study have the potential to help indian banks in understanding how internet banking portal users assess internet banking portal service quality. The study provides reliable and valid scale for measuring internet banking portal service.

Keywords: Service quality, dimensions of online service quality, assessment of reliability, assessment of validity, factor analysis, path analysis.

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Assessing the Validity of Business and Management Journals Ranking List: An Alternative Approach for Determining Journal Quality

December 7, 2015 Posted by admin

Mohamed Zainuba and Ahmad Rahal
College of Business, University of Arkansas – Fort Smith,
5210 Grand Avenue, Fort Smith Arkansas, 72913, USA

Abstract
Ranking of peer reviewed journals is commonly used as a proxy for judging the impact and quality of faculty research, an important factor in faculty salary evaluations, allocation of teaching loads, research funding, recruitment, promotion and tenure decisions in academia. As such, using the main two approaches for assessing business . and management journals’ ranking and quality, we compared the stated preference ranking approach of the Australian Business Dean Council (ABDC) to that of the revealed preference ranking approach using citation metrics such as the SCImago Journal Rank indicator (SJR), the Source Normalized Impact per Paper indicator (SNIP), the Hirsch Index (h-Index), the Impact Factor (JIF), the 5-Year Impact Factor (5-Y JIF), the Eigenfactor Score (ES), and the Article Influence Score (AI). Our results shows that the h-Index performed better than the rest of the metrics confirming about 60% of ABDC’s journal categorization. The SJR and the SNIP metrics ranking close 2nd and 3rd respectively. Furthermore, using predictive analytics, we derived parsimonious mathematical models to assist in estimating the percentile ranking of business and management journals using any of the citations metrics listed in this paper, including an aggregate model to address the variability across the rankings of the various citation metrics with results equivalent to that of the JCR’s metrics.

Keywords: ABDC journal list, Article Influence, Eigenfactor, h-Index, Impact Factor, Journals’ ranking, SJR, SNIP

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  • Annals of Management Science (AMS)

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  • ISSN 2161-5012 (Print Version)
    ISSN 2161-5004 (Online Version)