IT engagement as a blessing and a curse? Examining its antecedents and outcomes in organizations
暂无分享,去创建一个
Markus Makkonen | Markus Salo | Henri Pirkkalainen | Markus Salo | Markus Makkonen | H. Pirkkalainen
[1] Markus Makkonen,et al. Deliberate or Instinctive? Proactive and Reactive Coping for Technostress , 2019, J. Manag. Inf. Syst..
[2] João Porto de Albuquerque,et al. Spatial Practices in Digital Work: Calling for a Spatial Turn in Information Systems Research , 2019, HICSS.
[3] A. Weinstein,et al. Internet Addiction or Excessive Internet Use , 2010, The American journal of drug and alcohol abuse.
[4] Kristine Dery,et al. Engaged or just connected? Smartphones and employee engagement , 2012 .
[5] Monideepa Tarafdar,et al. Editorial , 2015, Inf. Syst. J..
[6] Monideepa Tarafdar,et al. The Impact of Technostress on Role Stress and Productivity , 2007, J. Manag. Inf. Syst..
[7] Peter M. Yellowlees,et al. Problematic Internet use or Internet addiction? , 2007, Comput. Hum. Behav..
[8] Monideepa Tarafdar,et al. Editorial: Dark side of information technology use , 2015 .
[9] C. S. Andreassen. Online Social Network Site Addiction: A Comprehensive Review , 2015, Current Addiction Reports.
[10] Marcia J. Simmering,et al. A Tale of Three Perspectives , 2009 .
[11] Eoin Whelan,et al. How twitter users can generate better ideas , 2015 .
[12] Yufei Yuan,et al. Online game addiction among adolescents: motivation and prevention factors , 2012, Eur. J. Inf. Syst..
[13] Jo Ellen Moore,et al. One Road to Turnover: An Examination of Work Exhaustion in Technology Professionals , 2000, MIS Q..
[14] Jane Webster,et al. Multicommunicating: Juggling Multiple Conversations in the Workplace , 2013, Inf. Syst. Res..
[15] Anol Bhattacherjee,et al. Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.
[16] Per E. Pedersen,et al. Explaining intention to use mobile chat services: moderating effects of gender , 2005 .
[17] Nick Bontis,et al. Family and work-related consequences of addiction to organizational pervasive technologies , 2011, Inf. Manag..
[18] Jason Bennett Thatcher,et al. Concentration, Competence, Confidence, and Capture: An Experimental Study of Age, Interruption-based Technostress, and Task Performance , 2018, J. Assoc. Inf. Syst..
[19] Straub,et al. Editor's Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research , 2011 .
[20] W. Schaufeli,et al. Are workaholics born or made? Relations of workaholism with person characteristics and overwork climate. , 2014 .
[21] Wei Wang,et al. ScholarWorks @ Georgia State University , 2022 .
[22] S. Jex,et al. Relationships between work-home segmentation and psychological detachment from work: the role of communication technology use at home. , 2011, Journal of occupational health psychology.
[23] Matthew K. O. Lee,et al. Understanding compulsive smartphone use: An empirical test of a flow-based model , 2017, Int. J. Inf. Manag..
[24] Nada K. Kakabadse,et al. HRM perspectives on addiction to technology and work , 2006 .
[25] Alain Pinsonneault,et al. The many faces of information technology interruptions: a taxonomy and preliminary investigation of their performance effects , 2015, Inf. Syst. J..
[26] John P. Charlton,et al. Validating the distinction between computer addiction and engagement: online game playing and personality , 2010, Behav. Inf. Technol..
[27] Varun Grover,et al. Me, My Self, and I(T): Conceptualizing Information Technology Identity and its Implications , 2015, MIS Q..
[28] John P. Charlton,et al. A factor-analytic investigation of computer 'addiction' and engagement. , 2002, British journal of psychology.
[29] Leif R. Hedman,et al. Using information technology: engagement modes, flow experience, and personality orientations , 2006, Comput. Hum. Behav..
[30] Louis Leung,et al. Linking Loneliness, Shyness, Smartphone Addiction Symptoms, and Patterns of Smartphone Use to Social Capital , 2015 .
[31] Thiraput Pitichat. Smartphones in the workplace: Changing organizational behavior, transforming the future , 2013 .
[32] Louis Leung,et al. Mapping ICT use at home and telecommuting practices: A perspective from work/family border theory , 2017, Telematics Informatics.
[33] Jason Bennett Thatcher,et al. Interrupting the Workplace: Examining Stressors in an Information Technology Context , 2015, J. Assoc. Inf. Syst..
[34] Thomas W. Jackson,et al. Theory-based model of factors affecting information overload , 2012, Int. J. Inf. Manag..
[35] Cecil Eng Huang Chua,et al. Explaining Information Technology Users' Ways of mitigating Technostress , 2017, ECIS.
[36] M. Griffiths,et al. Internet and Gaming Addiction: A Systematic Literature Review of Neuroimaging Studies , 2012, Brain sciences.
[37] Thomas W. H. Ng,et al. Dimensions, antecedents, and consequences of workaholism: a conceptual integration and extension , 2007 .
[38] P. Maurage,et al. Can Disordered Mobile Phone Use Be Considered a Behavioral Addiction? An Update on Current Evidence and a Comprehensive Model for Future Research , 2015, Current Addiction Reports.
[39] Peter A. Todd,et al. Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..
[40] C. Montag,et al. Carpe diem instead of losing your social mind: Beyond digital addiction and why we all suffer from digital overuse , 2016 .
[41] Wilmar B. Schaufeli,et al. How changes in job demands and resources predict burnout, work engagement, and sickness absenteeism , 2009 .
[42] Marieke K. van Vugt,et al. Interrupt me: External interruptions are less disruptive than self-interruptions , 2016, Comput. Hum. Behav..
[43] Anne Beaudry,et al. The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use , 2010, MIS Q..
[44] Keith W. Beard,et al. Modification in the Proposed Diagnostic Criteria for Internet Addiction , 2001, Cyberpsychology Behav. Soc. Netw..
[45] Gilad Ravid,et al. Information overload and the message dynamics of online interaction spaces: a theoretical model and empirical exploration , 2004, IEEE Engineering Management Review.
[46] Naresh K. Malhotra,et al. Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..
[47] Xiongfei Cao,et al. Exploring the influence of excessive social media use at work: A three-dimension usage perspective , 2019, Int. J. Inf. Manag..
[48] Markus Makkonen,et al. Coping with Technostress: When Emotional Responses Fail , 2017, ICIS.
[49] M. Griffiths,et al. Internet addiction: a systematic review of epidemiological research for the last decade. , 2014, Current pharmaceutical design.
[50] J. Elhai,et al. Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. , 2017, Journal of affective disorders.
[51] Viswanath Venkatesh,et al. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..
[52] Babajide Osatuyi,et al. Conceptualisation and validation of system use reduction as a self-regulatory IS use behaviour , 2020, Eur. J. Inf. Syst..
[53] J. Moskowitz,et al. Coping: pitfalls and promise. , 2004, Annual review of psychology.
[54] Udechukwu Ojiako,et al. Email overload: Exploring the moderating role of the perception of email as a 'business critical' tool , 2011, Int. J. Inf. Manag..
[55] Varun Grover,et al. Technostress: Technological Antecedents and Implications , 2011, MIS Q..
[56] F. Gino,et al. "I'll have one of each": how separating rewards into (meaningless) categories increases motivation. , 2012, Journal of personality and social psychology.
[57] Detmar W. Straub,et al. The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..
[58] Peter M. Bentler,et al. Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic , 2008, Psychometrika.
[59] J. Wajcman,et al. Constant Connectivity: Rethinking Interruptions at Work , 2011 .
[60] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[61] Tilo Hartmann,et al. Spontaneous Hedonic Reactions to Social Media Cues , 2017, Cyberpsychology Behav. Soc. Netw..
[62] Shalini Chandra,et al. Cognitive Absorption and Trust for Workplace Collaboration in Virtual Worlds: An Information Processing Decision Making Perspective , 2012, J. Assoc. Inf. Syst..
[63] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[64] Paul Benjamin Lowry,et al. "Cargo Cult" science in traditional organization and information systems survey research: A case for using nontraditional methods of data collection, including Mechanical Turk and online panels , 2016, J. Strateg. Inf. Syst..
[65] Michael R. Mullen,et al. Structural equation modelling: guidelines for determining model fit , 2008 .
[66] T. Oei,et al. Problematic Internet Use: Variants of Cognitive-Behavioural Model under Path Analysis , 2017 .
[67] Mark D Griffiths,et al. The relationships between behavioral addictions and the five-factor model of personality. , 2013, Journal of behavioral addictions.
[68] S. Folkman. [Personal control and stress and coping processes: a theoretical analysis]. , 1988, Kango kenkyu. The Japanese journal of nursing research.
[69] Nathan S. Hartman,et al. Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique , 2010 .
[70] N. Malhotra. Information Load and Consumer Decision Making , 1982 .
[71] Christopher Castille,et al. The Five Factor Model of personality and employees' excessive use of technology , 2012, Comput. Hum. Behav..
[72] Cary L. Cooper,et al. The technostress trifecta ‐ techno eustress, techno distress and design: Theoretical directions and an agenda for research , 2019, Inf. Syst. J..
[73] K. Berridge,et al. Incentive-sensitization and addiction. , 2001, Addiction.
[74] J. Webster,et al. Flow in Computer-Mediated Communication , 1992 .
[75] Monideepa Tarafdar,et al. Impact of Technostress on End-User Satisfaction and Performance , 2010, J. Manag. Inf. Syst..
[76] Markus Salo,et al. Two Decades of the Dark Side in the Information Systems Basket: Suggesting five areas for Future Research , 2016, ECIS.
[77] Cara Peters,et al. An exploratory investigation of problematic online auction behaviors: Experiences of eBay users , 2007 .
[78] Darryl Charles,et al. Toward an understanding of flow in video games , 2008, CIE.
[79] I. Ajzen,et al. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .
[80] Narcyz Roztocki,et al. Adoption of ERP systems: Does information transparency matter? , 2015, Telematics Informatics.
[81] Elena Karahanna,et al. Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..
[82] Daniel L. King,et al. Working towards an international consensus on criteria for assessing internet gaming disorder: a critical commentary on Petry et al. (2014). , 2016, Addiction.
[83] Markus Salo,et al. Technostress and social networking services: Explaining users' concentration, sleep, identity, and social relation problems , 2018, Inf. Syst. J..
[84] Detmar W. Straub,et al. Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..
[85] Julie B. Olson-Buchanan,et al. The Use of Communication Technologies After Hours: The Role of Work Attitudes and Work-Life Conflict , 2007 .
[86] Scott B. MacKenzie,et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.
[87] JoAnne Yates,et al. The Autonomy Paradox: The Implications of Mobile Email Devices for Knowledge Professionals , 2013, Organ. Sci..
[88] Ronald T. Cenfetelli,et al. Identifying and Testing the Inhibitors of Technology Usage Intentions , 2011, Inf. Syst. Res..