Category: �’

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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Key Drivers of Customer Loyalty in Online Banking

July 25, 2015 Posted by admin

Abdullah Sanusi Othman, Iftekhar Amin Chowdhury, Yang Bo, Ahmad Raflis Che Omar, Lokhman Hakim Osman
Faculty of Economics and Management
National University of Malaysia, 43600 Bangi Selangor
Malaysia
Labuan Faculty of International Finance, Universiti Malaysia Sabah
Labuan International Campus, Jalan Sungai Pagar, 87000 Labuan F.T.
Malaysia

Abstract
In this research, we examine the impacts of e-service quality, e-satisfaction and etrust on e-loyalty in online banking. The target population for the research is the population of experienced online banking services users. We took a random sample from this population to collect relevant information or data. Based on the analysis of the data, we found that e-satisfaction and e-trust play major roles in building eloyalty in the online banking. We also found that e-service quality is not a predictor of e-loyalty in online banking. What these results imply is that e-service quality cannot ensure e-loyalty in online banking. E-loyalty can only be ensured when there is e-satisfaction and e-trust. The limitations of the research were discussed. We also suggested directions for future studies.

Keywords: E-service quality, e-satisfaction, e-trust, e-loyalty, hypotheses, regression analyses.

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Back to the Future. A Behavioural Perspective on Technical Analysis into PIGS Countries

July 25, 2015 Posted by admin

Spyros Papathanasiou, Dimitrios Vasiliou and Nikolaos Eriotis
Hellenic Open University, 1 Kekropos Street, GR –19001, Keratea, Greece,
Hellenic Open University, 16, Sahtouri Str. and Ag. Andreou Str. GR-262 22 Patra,
National & Kapodistrian University of Athens, 5 Stadiou Street, GR–105 62, Athens, Greece.

Abstract
In this paper, we investigate the possible presence of the behavioural phenomenon in the stock markets of some members of the European Union who are historically known as PIGS (Portugal, Italy, Greece and Spain). We used technical analyses methods and rules to explain behavioural phenomenon in the examined stoch markets. We use different types of moving average technical rules. We perform some further analyses and tests. In our further analyses, we apply standard t-tests in combination with bootstrap methodology under the GARCH (1,1) null model. Overall, the results obtained in the paper show that our technical strategies (buy and hold) “win” the market and that there is a presence of European phenomenon in the PIGS stock markets. In addition, we document significant excess returns for moving average trading strategies and reject the weak-form efficient market hypothesis of Fama (1965).

Keywords: Behavioural Finance, GARCH(1,1) Technical Analysis, Bootstrap, Matlab, PIGS.

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The Use of Gini Mean Difference for Monitoring Process Capability

July 25, 2015 Posted by admin

Kalpana K Mahajan, Sangeeta Arora and Priyanka Vashista
Department of Statistics, Panjab University, Chandigarh-160014, India

Abstract
In this paper, new process capability ratios based on Gini mean difference (GMD) are proposed for both one-sided and two-sided specifications under the assumption that the quality characteristic is normally distributed. The asymptotic sampling distribution for the new proposed PCR is derived along with its plot of probability density function (pdf) for different values of subgroup size and the numerical example is also given. The 100(1-alpha) percent confidence interval for the proposed PCR is computed along with some illustrations.

Keywords: Process capability ratios, natural tolerance limits, specification limits, robustness, efficiency.

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Examining the Relationship between Person-Organization Fit and Organizational Citizenship Behavior: The Case of an Educational Institution

July 25, 2015 Posted by admin

Hadi Teimouri, Maryam Dezhtaherian, Kouroush Jenab
Assistant Professor, Management Department, University of Isfahan, Isfahan, IRAN
M.S. Candidate, Management Department, University of Isfahan, Isfahan, IRAN
Faculty of College of Aeronautics, Embry-Riddle Aeronautical University, Daytona, Florida, USA

Abstract
In this research, we examine the relationship between person-organization fit and organizational citizenship behavior via a study conducted at the University of Isfahan, Iran. The study was conducted using the field-descriptive method. Some research hypotheses about the relationship between each of the dimensions of person-organization fit and organization citizenship behaviour were developed and tested. These dimensions include workplace convergence, KSA (knowledge/skills/abilities) congruence, goals congruence, values congruence, and personality congruence, as dimensions of person-organization fit. Statistical population of the research included senior and junior nonacademic staff and managers at various levels in the University of Isfahan. A sample size of 132 employees was randomly selected from a total of 184 employees at the different levels using stratified random sampling method. The results revealed that there is a significant relationship between dimensions of person-organization fit and organizational citizenship behavior.

Keywords: Dimensions of person-organization fit, Hypotheses, normality test, factor analysis, structural equation modeling

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  • Annals of Management Science (AMS)

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