International Journal of Information Systems and Change Management (7 papers in press)
The role of emotional dissonance and emotional intelligence on job-stress, burnout, and well-being among nurses
by Bilal Afsar, Mariam Masood
Abstract: Although emotional dissonance has been broadly investigated in the literature, the relationship of emotional dissonance and emotional intelligence with job-stress, burnout, and well-being in nursing profession requires further exploration. This study examines the extent to which emotional dissonance and emotional intelligence are associated with job-stress, burnout, and well-being among nurses working in public sector hospitals of Pakistan. The moderating role of emotional intelligence is evaluated as a key factor in the rescue of healthcare workers from job-stress and burnout thus increasing job retention. Data were collected from 379 nurses working in public sector hospitals of Pakistan through a cross-sectional quantitative research design. The results show that both emotional dissonance and emotional intelligence have significant effects on nurses perceived job-stress, burnout, and well-being. The moderating effect of emotional intelligence is also confirmed. These findings provide additional evidence for the important effects that emotional dissonance and emotional intelligence can have on nurses job-stress, burnout, and well-being. The potential benefits of emotional intelligence in the nurses emotional work have been explored.
Keywords: well-being; emotional dissonance; emotional intelligence; emotional labour; job-stress; burnout; nurses.
Application of frontal EEG asymmetry to customer emotional value perception in PSS
by Meina Zhao, Jing Wang, Gang Zhao
Abstract: This study aims to examine the customer emotion elicited by products and services elements in product-service system (PSS) during online buying processing with the application of frontal EEG asymmetry. In this experiment, 21 participants were shown products and services that were available for online purchase. The emotional ERP components, late positive potential (LPP), were elicited by services and products, and distributed over frontal and central regions, which show the brain asymmetry base on brain processing. A late positive voltage change elicited by services was observed that was significantly greater for left channel than right channel in the fontal and central region. The main findings of the experiment confirm that the positive emotions are elicited by services during the online shopping decision making process. The paper is provided a neural view of customer online buying decisions, which may be apply for products and services design in PSS.
Keywords: PSS; service value; customer emotion; LPP.
Unmixed Signals: Stock Market Reaction to Subsequent Announcements of Strategic Alliances
by Chao Zhao, Tie-Nan Wang
Abstract: In contrast to initial announcements, subsequent announcements of strategic alliances are more effective signals transferring more specific and credible progress information to investors. However, no comprehensive analysis of information updates on alliance progress activities exists. We address this limitation by distinguishing the signaling effects between initial and subsequent disclosures of strategic alliances. Using event study, the signaling effect is measured by cumulative abnormal returns with alliance data from China during 2001 and 2016. We find that investors react positively and significantly to both initial and subsequent disclosures，but in different reaction patterns. Specifically, due to information leakage effects, the stock market reacts negatively to subsequent reports from day -5 to -3 and then, reacts positively both in an immediate term (on day 0) and over the subsequent event window with fluctuations. Additionally, the stock market significantly rewards alliance performance announcements, but responds negatively to progress and termination reports. This study contributes to the strategic alliance literature and helps managers in making information disclosure strategies.
Keywords: Strategic alliances; subsequent announcements; initial announcements; stock returns; information disclosure; event study.
Linking ICT Utilization to SMEs Performance: Miracle or Mirage? The Empirical Evidence and Lesson from Pakistan
by Zulfiqar Hussain Pathan, Jianqiu Zeng, Faheem Gul Gilal, Shafaq Salam
Abstract: The primary objective of this study is to explore the effect of Information and Communication Technology (ICT) utilizations on the performance of Small and Medium Enterprises (SMEs). To this end, we involved (N = 384) senior managers and executive staff of manufacturing SMEs sector of Pakistan. The results of structural equation modeling support the role of ICT utilization. Notably, the technological development emerged as the strongest outcome of ICT usage followed by economic growth, SMEs business performance, and business expansion. Finally, the limitations, future research opportunities, and the managerial implications for the effect of ICT utilization on the performance of SMEs are discussed in depth.
Keywords: Small and medium enterprises (SMEs); information and communication technology (ICT); business performance; manufacturing sector; partial least square (PLS),.
Connecting technology and human behaviors towards e-health adoption
by Jamil Razmak, Charles Bélanger
Abstract: There are various important aspects around Canadian e-health, phenomena and concepts that blur understanding or resolution when approached from a single perspective. A full understanding of e-health identity, health policy, human perceptions, or knowledge was a driver in conducting this study. The present study concentrated on one of the components of e-health: the electronic health communication between physicians and patients through a system called Personal Health Records (PHR) viewed from end-users perspectives. Secondary data from Northern Ontario were used from the National Physician Survey (NPS) to support the study literature review. The data were incorporated in the study and acted as indicators to set up the study objective through exploring three sociological factors (openness to change, awareness toward, and quality of healthcare services) that predict peoples attitudes and behavioral intention toward this component of e-health. The exploration was driven by surveying 325 Canadian patients in the same region of Canadian physicians that answered the NPS questions. The three sociological factors tested in the regression model were significant predictors of patients behavioural attitude toward adopting this innovative technology. Additional support from health policy makers, hospitals and physicians was recommended to increase the awareness of e-health usage for Northern patients. Improving the quality of healthcare is a key driver to make them more open to change and accept a new technology.
Keywords: Openness to change; Awareness toward PHR; Quality of healthcare services; Attitude toward e-health.
ADAPTIVE FAIRNESS SCHEDULING AND OPTIMIZATION OF POWER IN MILLIMETER WAVE MIMO-OFDM SYSTEMS
by Deepa Rangasamy
Abstract: The demand for higher data rates and spectral efficiency over wireless channels is growing day by day. Mobile multimedia millimeter (mm) wave communication, a key technology for 5G systems offers high date rate and greater spectrum than current cellular standards. The large amounts of bandwidth available in the mm wave band enable multi-Gigabit communication. Adaptive resource allocation and optimization of power for mobile multimedia is of great research interest. In this paper, n adaptive fairness power allocation scheme for transmission of multimedia images have been proposed for mmWave MIMO-OFDM. The results show better error performance, improved PSNR and reduced percentage of pixel errors.
Keywords: Fairness scheduling; mm wave MIMO-OFDM; multimedia communications.
Test Suite Reduction based on Traceability Matrix with Association Rule Mining Technique
by B.SUBASHINI , D.JeyaMala
Abstract: In programming development life cycle, testing assumes a
significant part, which enhances the quality, dependability, and execution
of the framework. For testing the functionality of software or program, test
suites, an accumulation of test cases are created and it verifies the software
which operates in conformance with the requirement specification. Since
large amounts of test cases are generated, it may be redundant. In this
paper, the test suite can be drastically diminished by fusing data mining,
philosophy of association rule mining technique in software testing. The
proposed technique will reduce the redundant and irrelevant test suite in
testing the software. It results in a healthier test suite, which saves time,
effort, cost and results in better coverage analysis and efficiency. At last,
this paper contrasts the proposed calculation and the existing one utilizing
case study analyses.
Keywords: Apriori; Association Rule; Data Mining; Requirement Traceability Matrix; Software Testing; Test suite Minimization.