Complexity and Operations Performance: A Case Study

December 3, 2016 Posted by admin

Valerio A. P. Salomon, Mateus L. Simon and Jorge Muniz Junior
Sao Paulo State University, Av. Ariberto P. Cunha 333
Guaratingueta, SP, CEP 12516-470, Brazil
MAN Latin America, Rua Volkswagen 100
Resende, RJ, CEP 27537-803, Brazil

Abstract
The purpose of this research is to analyze the relationship between production complexity and operational performance in a mass customization (MC) production system, typical in automobile industry of commercial vehicles, such as trucks and buses. A mixed quantitative-qualitative approach was used in this research. That is, two main research methods were combined: Case Study and Quantitative Modelling. Information Entropy was applied as an indicator of operations complexity. Production performance was measured with production downtimes and non-conformities. Logistics performance was measured with parts obsolescence, stock-outs and days of supply. Although the results show small positive correlations between pairs of operations complexity and operations performance and pairs of operations complexity and logistic performance indicators, the tests of significance performed on these corrections show that they are statistically insignificance. Although they are not statistically or theoretically significant, we believe that, practically, the positive values of correlations between pairs of operations complexity and operations performance indicators and pairs of operations complexity and logistic performance indicators show that complexity has some direct relationship with production and logistic efficiencies.

Keywords: automobile industry, complexity, mass customization, operational performance.

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Determinants of Micro CreditGrowths in Nigeria(1980-2014)

December 3, 2016 Posted by admin

Fatai Abiodun Atanda and Zaccheus Adelabu
Department of Management and Accounting
Obafemi Awolowo University,
Ile Ife, Nigeria

Abstract
This study examined the factors that influenced micro credits granted by microfinance institutions and deposit money banks in Nigeria. The study used time series data on micro credits, bankspecific factors (bank size, deposits volume and liquidity ratio), regulatory factors (cash reserves ratio, monetary policy rates and money supply) and economic rates (lending rates, deposit rates, treasury bills rates and exchange rates), over the years 1980-2014. The data, which allowed broader lessons and policies to be drawn, were collected from the Central Bank of Nigeria and subjected to econometric analyses such as unit roots and autoregressive distributed lag (ARDL) cointegration tests. Results showed that micro credits significantly depended on bank size, deposits volume, exchange rates, lending rates and treasury bill rates as well as one-year lagged deposits volume, lending rates and exchange rates in the short and long run. However, cash reserves ratio, savings deposit rates and its one-year lagged values significantly caused micro credits to reduce. We concluded that bank-specific, regulatory and economic factors played dual (beneficial and detrimental) roles in the micro credits granted by the banks. Increased capital base, especially for microfinance institutions; low interest spreads and diversification of the Nigerian economy for increased foreign exchange earnings, were recommended

Keywords: micro credits, bank-specific factors, regulations, economic factors, SMEs

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Electronic – Banking and Customer Satisfaction in Greece. The Case of Piraeus Bank

December 3, 2016 Posted by admin

Maria Kampakaki and Spyros Papathanasiou
Faculty of Banking, Hellenic Open University Agias Sofias Street,1, Alexandroupolis, GR-18600, Greece
Hellenic Open University Kekropos Street,1, Keratea, GR –19001, Greece

Abstract
In this study, we examine the relationship among service quality, customer satisfaction and customer loyalty regarding e-banking services. We also evaluate and identify the service quality dimensions that impact customer satisfaction regarding Piraeus bank e-banking services using a modified SERVQUAL model. The data used in the research was collected a questionnaire sent to users of Piraeus bank electronic services in Greece. Regression and correlation analyses were used to analyze the collected data and test some stated hypotheses. Based on the results of the data analyses, we concluded that assurance and reliability have major effects on customer satisfaction. The results also show that there is a positive and strong relationship between service quality and customer satisfaction and between customer satisfaction and customer loyalty. Each of the SERVQUAL dimensions are also found to be highly correlated with service quality. What all these results indicate is that in order to increase customer satisfaction and loyalty, banks must improve service quality. Also from the results, we find that the correlation between customer satisfaction and service quality is higher than the correlation between customer satisfaction and customer loyalty. Finally, due to multicollinearity, two dimensions, assurance and tangibles; were excluded from the fitted regression model in the research. This makes us wonder whether, in fact, SERVQUAL model is appropriate for measuring the quality of e-banking services.

Keywords: e-banking, customer satisfaction, service quality, SERVQUAL model

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Interest Rate Spread in Ghana’s Banking Sector: 2000 – 2014

December 3, 2016 Posted by admin

Abel Fumey and Isaac Doku
Department of Economics, University of Ghana, Legon, Accra – Ghana,
Data Link University College, Tema – Ghana

Abstract
The study examines the interest rate spread in post-regulatory banking industry in Ghana within the period 2000 to 2014 for twenty four (24) banks using a panel data from annual bank balance sheet and income statements. The main objective is to identify the factors that influence the seemingly high interest rate spread in Ghana. The factors are classified into bank specific variables, banking industry variables and the macroeconomic variables. Findings from the study reveal that high operating costs and Bad debt increase the interest spreads in Ghana. They also reveal that prime rate and liquidity reserve requirements act as important determinants of higher spread. From macroeconomic point of view, inflation and Treasury bill rates are found to have significant influence on wide spreads. Also an inclusion of time dummy in the model showed that the global financial crises that occurred between 2006 and 2009 had a negative impact on the spread thereby reducing the spread. In general, the study found that high interest rate spread is caused by a combination of factors from the three mentioned classified sources above but the factor cannot be attributed to any particular specific source. The study concludes that the impact of the financial liberalization in Ghana did not contribute much in making the banking sector competitive and efficient. Hence, the spread remained high particularly in the study period. The study recommends that Government must ensure prompt payment of debt owed the banks to enable them have clean portfolios and minimize spreads, since a greater part of the non- performing loans are in the hands of the state.

Keywords: post regulatory, bank specific variables, financial market variables, macroeconomic variables, panel data, Ghana.

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Improving Performance in Supplier Relationship Management with Lower-Tier Supplier Visibility and Management

December 3, 2016 Posted by admin

Xiaoming Li, Festus Olorunniwo, Chunxing Fana and Joel Jolayemi
Department of Business Administration, Tennessee State University
330 10th Avenue North, Nashville, TN 37203, USA

Abstract
In this study, we investigate how a company can employ lower-tier supplier visibility and management to achieve better performance for itself. After we identified important performance criteria and practices in engendering lower-tier supplier visibility and management through literature review and focus group interview, we designed a questionnaire – based on the identified criteria – to survey organizations on supplier performances with respect to the different LTSM practices they use for engendering lower-tier supplier visibility and enhancing lower-tier supplier management. Using our survey data, we are able to show that lower-tier supplier management can positively affect all SRM performance at three levels: the immediate purchasing level, the corporate level, and the intercorporate level. Our findings provide a justification for the industry to invest their efforts in seeking and monitoring the performance of their lower-tier suppliers along some key performance dimensions. We provide direct evidence that seeking knowledge of and monitoring certain activities of lower-tier suppliers can result in better performance in SRM.

Keywords: supplier relationships, lower-tier visibility, survey, lower-tier supplier management, supplier performance.

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Mobile Stock Trading Platforms and Individual Investors’ Financial Performance

December 3, 2016 Posted by admin

Mobile Stock Trading Platforms and Individual Investors’ Financial Performance
Moustafa Abuelfadl, Stephen Kyungsub Choi and Boris Abbey
School of Business, Ithaca College, 953 Danby St, Ithaca, NY 14850, U.S.A.
School of Management, Rhode Island College, Providence, RI 02908-1991, U.S.A.
Lundy-Fetterman School of Business, Campbell University 165 Dr. McKoy Drive Buies Creek, NC 27506, U.S.A

Abstract
Behavioral finance has provided a variety of explanations for individual investors’ financial performance that focus on behavioral biases, and information systems (IS) have developed theories about financial information system issues from the system management perspective. This study examines 2,726 proprietary online individual investors’ stock trading accounts and analyzes the field survey responses of a group of 178 individual investors. The study investigates different IS-related constructs and their association with individual investors’ financial performance. The results reveal that the perceived usefulness of IS mobile stock trading platforms in the risk-seeking individual investors’ group is significant and positively associated with their financial performance.

Keywords: mobile stock trading, financial risk disposition, technology acceptance, smartphone, stock trading, financial performance, IS constructs

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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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