Archive for: ‘July 2015’

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.

SUBSCRIBERS CAN VIEW / DOWNLOAD THIS FULL ARTICLE BY CLICKING HERE.

ACCESS THIS INDIVIDUAL ARTICLE FOR $25.00

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.

SUBSCRIBERS CAN VIEW / DOWNLOAD THIS FULL ARTICLE BY CLICKING HERE.

ACCESS THIS INDIVIDUAL ARTICLE FOR $25.00

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.

SUBSCRIBERS CAN VIEW / DOWNLOAD THIS FULL ARTICLE BY CLICKING HERE.

ACCESS THIS INDIVIDUAL ARTICLE FOR $25.00

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

SUBSCRIBERS CAN VIEW / DOWNLOAD THIS FULL ARTICLE BY CLICKING HERE.

ACCESS THIS INDIVIDUAL ARTICLE FOR $25.00

An Integrated Trading Model for a Financially Distressed Commodity Producer

July 25, 2015 Posted by admin

Ismail Civelek
Gordon Ford College of Business, Western Kentucky University
Tarsali, Vadodara – 390009, Gujarat, India

Abstract
We consider a commodity trader that invests in the transportation capacity in order to sell high under the domestic spot market price uncertainty. Hence, the trader faces profit uncertainty that drives the financial distress cost. In our model, the expected financial distress cost is used for the objective in the cases of a value-maximizer firm and a risk-averse agent. Since buying too much transportation capacity affects the market price, we analyze the uncapacitated trading problem and show comparative statics. We discuss how the value maximizer and risk-averse commodity trader’s optimal decisions change in four different cases depending on the pricing of the unit transportation capacity cost: Only risk-neutral, low-mispriced or high-mispriced capacity, and the case with two-measures. Similar to results in literature, only riskneutral and high-mispriced cases are trivial. However, in low-mispriced and twomeasures cases, in which arbitrage opportunities exist, we show that the trader does not invest infinitely due to the financial distress cost.

Keywords: Operations Management, Commodity Trading and Financial Hedging

SUBSCRIBERS CAN VIEW / DOWNLOAD THIS FULL ARTICLE BY CLICKING HERE.

ACCESS THIS INDIVIDUAL ARTICLE FOR $25.00

  • Research Subjects

  • Archives

  • Annals of Management Science (AMS)

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