Information Consumer Experience: A Systematic Review
Abstract
:1. Introduction
2. Background
2.1. User Experience
2.2. Customer Experience
2.3. Information Consumer Experience
3. Research Method
3.1. Research Questions
3.2. Literature Search
3.3. Study Selection Criteria
3.4. Study Selection
4. Data Synthesis
4.1. Year of Publication
4.2. Document Type
4.3. Subject Area
5. Answering Research Questions
5.1. What Is ICX? (Information Consumer Experience)
5.2. What Factors Influence ICX?
5.3. What Methods Are Used for ICX Evaluation?
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Malik, N.; Tripathi, S.N.; Kar, A.K.; Gupta, S. Impact of artificial intelligence on employees working in industry 4.0 led organizations. Int. J. Manpow. 2021, 43, 334–354. [Google Scholar] [CrossRef]
- Fischer, H.; Engler, M.; Sauer, S. A Human-Centered Perspective on Software Quality: Acceptance Criteria for Work 4.0. In Design, User Experience, and Usability: Theory, Methodology, and Management; Springer International Publishing: Cham, Switzerland, 2017; pp. 570–583. [Google Scholar] [CrossRef]
- Molino, M.; Cortese, C.G.; Ghislieri, C. Technology Acceptance and Leadership 4.0: A Quali-Quantitative Study. Int. J. Environ. Res. Public Health 2021, 18, 10845. [Google Scholar] [CrossRef] [PubMed]
- Molino, M.; Cortese, C.G.; Ghislieri, C. The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training. Int. J. Environ. Res. Public Health 2020, 17, 2438. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Keiningham, T.; Aksoy, L.; Bruce, H.L.; Cadet, F.; Clennell, N.; Hodgkinson, I.R.; Kearney, T. Customer experience driven business model innovation. J. Bus. Res. 2020, 116, 431–440. [Google Scholar] [CrossRef]
- Meyer, C.; Schwager, A. Understanding customer experience. Harv. Bus. Rev. 2007, 85, 116. [Google Scholar]
- Dixon, S.M.; Searcy, C.; Neumann, W.P. Reporting within the Corridor of Conformance: Managerial Perspectives on Work Environment Disclosures in Corporate Social Responsibility Reporting. Sustainability 2019, 11, 3825. [Google Scholar] [CrossRef] [Green Version]
- Hou, A.C.; Chen, Y.C.; Shang, R.A. Mutual Relations in ERP Implementation: The Impacts of Work Alienation and Organizational Support in State-owned Enterprise. Procedia Comput. Sci. 2016, 100, 1289–1296. [Google Scholar] [CrossRef] [Green Version]
- Domaszewicz, J.; Parzych, D. Intra-Company Crowdsensing: Datafication with Human-in-the-Loop. Sensors 2022, 22, 943. [Google Scholar] [CrossRef]
- Fréour, L.; Pohl, S.; Battistelli, A. How Digital Technologies Modify The Work Characteristics: A Preliminary Study. Span. J. Psychol. 2021, 24, e14. [Google Scholar] [CrossRef]
- Cumberland, D.M.; Alagaraja, M.; Shuck, B.; Kerrick, S.A. Organizational Social Capital: Ties Between HRD, Employee Voice, and CEOs. Hum. Resour. Dev. Rev. 2018, 17, 199–221. [Google Scholar] [CrossRef]
- Meske, C.; Kissmer, T.; Stieglitz, S. Bridging formal barriers in digital work environments – Investigating technology-enabled interactions across organizational hierarchies. Telemat. Inform. 2020, 48, 101342. [Google Scholar] [CrossRef]
- Goetz, T.M.; Boehm, S.A. Am I outdated? The role of strengths use support and friendship opportunities for coping with technological insecurity. Comput. Hum. Behav. 2020, 107, 106265. [Google Scholar] [CrossRef]
- Klesel, M.; Mokosch, G.; Niehaves, B. Putting Flesh on the Duality of Structure: The Case of IT Consumerization. In Proceedings of the 21st Americas Conference on Information Systems, Fajardo, PR, USA, 13–15 August 2015. [Google Scholar]
- Kordsmeyer, A.C.; Mette, J.; Harth, V.; Mache, S. Arbeitsbezogene Belastungsfaktoren und Ressourcen in der virtuellen Teamarbeit. Zentralblatt Arbeitsmedizin Arbeitsschutz Ergon. 2018, 69, 239–244. [Google Scholar] [CrossRef]
- Laumer, S.; Maier, C.; Eckhardt, A.; Weitzel, T. Work routines as an object of resistance during information systems implementations: Theoretical foundation and empirical evidence. Eur. J. Inf. Syst. 2016, 25, 317–343. [Google Scholar] [CrossRef]
- Watungwa, T.; Pather, S. Identification of User Satisfaction Dimensions for the Evaluation of University Administration Information Systems. In Proceedings of the ICICKM 2018 15th International Conference on Intellectual Capital Knowledge Management & Organisational Learning, Academic Conferences and Publishing Limited, Cape Town, South Africa, 29–30 November 2018; p. 346. [Google Scholar]
- Ganeshan, M.K.; Vethirajan, C. Electronic Human Resource Management Practices And Employees Perception Towards Information Technology Industry. Int. J. Sci. Technol. Res. 2020, 9, 86–90. [Google Scholar]
- ISO 9241-11:2018; Ergonomics of Human-System Interaction—Part 11: Usability: Definitions and Concepts. International Organization for Standardization: Geneva, Switzerland, 2018; Volume 9241.
- Lemon, K.N.; Verhoef, P.C. Understanding customer experience throughout the customer journey. J. Mark. 2016, 80, 69–96. [Google Scholar] [CrossRef]
- Gentile, C.; Spiller, N.; Noci, G. How to sustain the customer experience:: An overview of experience components that co-create value with the customer. Eur. Manag. J. 2007, 25, 395–410. [Google Scholar] [CrossRef]
- Temkin, B.D. Mapping the customer journey. Forrest. Res. 2010, 3, 20. [Google Scholar]
- Kitchenham, B. Procedures for Performing Systematic Reviews; Keele University: Keele, UK, 2004; Volume 33, pp. 1–26. [Google Scholar]
- Prisma Statement. Available online: http://www.prisma-statement.org/ (accessed on 25 June 2022).
- Vasilieva, E.; Tochilkina, T. Design thinking and process transformation: Synergy of these approaches. In Proceedings of the CEUR Workshop Proceedings, Bolzano, Italy, 9–10 November 2020. [Google Scholar]
- Kabicher-Fuchs, S.; Mangler, J.; Rinderle-Ma, S. Experience Breeding in Process-Aware Information Systems. In Notes on Numerical Fluid Mechanics and Multidisciplinary Design; Springer International Publishing: Geneva, Switzerland, 2013; pp. 594–609. [Google Scholar] [CrossRef]
- Wu, M.S. Information literacy, creativity and work performance. Inf. Dev. 2018, 35, 676–687. [Google Scholar] [CrossRef]
- Widén, G.; Ahmad, F.; Huvila, I. Connecting information literacy and social capital to better utilise knowledge resources in the workplace. J. Inf. Sci. 2021, 016555152110605. [Google Scholar] [CrossRef]
- Sabari, S.S.; Kamesh, A.V.S. Role of Training in Information Technology in Enhancing Employee Efficiency in Banking Sector in India. Int. J. Innov. Technol. Explor. Eng. 2019, 9, 4252–4256. [Google Scholar] [CrossRef]
- Wickramasinghe, V.; Ramanathan, U. Workplace learning experienced by employees in information technology-enabled work environments—A developing country experiences. J. Workplace Learn. 2021, 34, 352–372. [Google Scholar] [CrossRef]
- Le, H.T.; Johri, A.; Malik, A. Situated Information Seeking for Learning: A Case Study of Engineering Workplace Cognition among Cybersecurity Professionals. In Proceedings of the 2018 ASEE Annual Conference & Exposition Proceedings, Salt Lake City, UT, USA, 22–26 June 2018. [Google Scholar] [CrossRef]
- Hutasuhut, I.; Adruce, S.A.Z.; Jonathan, V. How a learning organization cultivates self-directed learning. J. Workplace Learn. 2021, 33, 334–347. [Google Scholar] [CrossRef]
- Middleton, L.; Hall, H.; Muir, L.; Raeside, R. The interaction between people, information and innovation: Information literacy to underpin innovative work behaviour in a Finnish organisation. Proc. Assoc. Inf. Sci. Technol. 2018, 55, 367–376. [Google Scholar] [CrossRef]
- Block, M.; Khvatova, T. Developing an interactive view on intra-organisational knowledge sharing. Volume One 2014, 1, 120. [Google Scholar]
- Ortiz de Guinea, A.; Employees’ Cognitive Load and Performance during Multitasking Use of Information Technology. Association for Information Systems. ECIS, 2018. Available online: https://aisel.aisnet.org/ecis2018_rp/3 (accessed on 26 June 2022).
- Chatzipanagiotou, N. Toward an Integrated Approach to Information Management: A Literature Review. In Strategic Innovative Marketing; Springer International Publishing: Cham, Switzerland, 2016; pp. 667–673. [Google Scholar] [CrossRef]
- Gunadham, T.; Thammakoranonta, N. Knowledge Management Systems Functionalities Enhancement in Practice. In Proceedings of the 5th International Conference on Frontiers of Educational Technologies—ICFET 2019, Beijing, China, 1–3 June 2019; ACM Press: New York, NY, USA, 2019. [Google Scholar] [CrossRef]
- David, R.M. Accelerating the Learning Curve of Next Generation Exploration and Production Workforce through Smart Data and Knowledge Environment. In Day 3 Wed, 28 September 2016; SPE: Hong Kong, China, 2016. [Google Scholar] [CrossRef]
- Wang, S.; Noe, R.A.; Wang, Z.M. Motivating Knowledge Sharing in Knowledge Management Systems. J. Manag. 2011, 40, 978–1009. [Google Scholar] [CrossRef]
- Bonifacio, B.A.; Cunha, R.; Lima, F.; Albuquerque, L.H.; Ayres, M.S.; Souza, F.; Moreno, A.M.; Muniz, E.S. Improving Knowledge Management Using Wiki Tool through Experimental Studies. In Proceedings of the WWW/Internet 2021 and Applied Computing, Guilin, China, 9–11 July 2021; p. 54. [Google Scholar]
- Blandford, A.E. Engaging In Information Interaction. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, Oslo, Norway, 7–11 March 2017. [Google Scholar] [CrossRef]
- Wulandari, F.; Ferdinand, A.T.; Dwiatmadja, C. Knowledge Sharing in a Critical Moment of Work. Int. J. Knowl. Manag. 2018, 14, 88–98. [Google Scholar] [CrossRef]
- Popa, L.; Popa, V. Study on a collaborative platform for product development using cloud computing. IOP Conf. Ser. Mater. Sci. Eng. 2018, 400, 022048. [Google Scholar] [CrossRef]
- Sharokhina, S.V.; Shevchenko, T.A. System Approach to the Control Organization of Management Decisions. In Current Achievements, Challenges and Digital Chances of Knowledge Based Economy; Springer International Publishing: Cham, Switzerland, 2020; pp. 763–770. [Google Scholar] [CrossRef]
- Joshi, P.M.; Bartolini, C.; Graupner, S. T@gz: Intuitive and effortless categorization and sharing of email conversations. In Proceedings of the 21st international conference companion on World Wide Web—WWW `12 Companion, Lyon, France, 16–20 April 2012; ACM Press: New York, NY, USA, 2012. [Google Scholar] [CrossRef]
- Korpelainen, E.; Kira, M. Systems approach for analysing problems in IT system adoption at work. Behav. Inf. Technol. 2013, 32, 247–262. [Google Scholar] [CrossRef]
- Kumar, S.; Verma, P.; Patel, P.; Rajesh, J.I. Perceptions of Indian managers on the impact of convergent technologies on work and resultant organisational performance in service industry. Int. J. Emerg. Mark. 2020, 17, 550–573. [Google Scholar] [CrossRef]
- Bala, H.; Venkatesh, V. Adaptation to Information Technology: A Holistic Nomological Network from Implementation to Job Outcomes. Manag. Sci. 2015. [Google Scholar] [CrossRef] [Green Version]
- Shamsi, M.; Iakovleva, T.; Olsen, E.; Bagozzi, R.P. Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory. Int. J. Environ. Res. Public Health 2021, 18, 11888. [Google Scholar] [CrossRef] [PubMed]
- Hossain, M.E.; Mahmud, I.; Idrus, R.M. Modelling End Users’ Continuance Intention to Use Information Systems in Academic Settings: Expectation-Confirmation and Stress Perspective. Interdiscip. J. Inf. Knowl. Manag. 2021, 16, 371–395. [Google Scholar] [CrossRef]
- Park, N.; Rhoads, M.; Hou, J.; Lee, K.M. Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Comput. Hum. Behav. 2014, 39, 118–127. [Google Scholar] [CrossRef]
- Montargot, N.; Lahouel, B.B. The acceptance of technological change in the hospitality industry from the perspective of front-line employees. J. Organ. Chang. Manag. 2018, 31, 637–655. [Google Scholar] [CrossRef]
- Maruping, L.M.; Magni, M. What’s the Weather Like? The Effect of Team Learning Climate, Empowerment Climate, and Gender on Individuals’ Technology Exploration and Use. J. Manag. Inf. Syst. 2012, 29, 79–114. [Google Scholar] [CrossRef] [Green Version]
- Sanda, M.A. Employees Perception of the Implementation of Information Technology Systems in the Ghanaian Public Sector. In Advances in Intelligent Systems and Computing; Springer International Publishing: Cham, Switzerland, 2020; pp. 148–155. [Google Scholar] [CrossRef]
- Kee, D.M.H.; Rubel, M.R.B. Technology adaptation is on its way: The role of high involvement work practice. Int. J. Bus. Innov. Res. 2021, 25, 35. [Google Scholar] [CrossRef]
- Silva-C, A.; Montoya R, I.A.; Valencia A, J.A. The attitude of managers toward telework, why is it so difficult to adopt it in organizations? Technol. Soc. 2019, 59, 101133. [Google Scholar] [CrossRef]
- Tounkara, T.; Arduin, P.E. Contextualizing knowledge sharing strategy: The case of an international organization in the area of development assistance. In Proceedings of the ECKM 2015: 16th European Conference on Knowledge Management, Udine, Italy, 3–4 September 2015; pp. 780–789. [Google Scholar]
- Hai, M.M.; Hung, P.D. Centralized Access Point for Information System Integration Problems in Large Enterprises. In Lecture Notes in Computer Science; Springer International Publishing: Cham, Switzerland, 2020; pp. 239–248. [Google Scholar] [CrossRef]
- Ahmad, K.Z.B.; Jasimuddin, S.M.; Kee, W.L. Organizational climate and job satisfaction: Do employees’ personalities matter? Manag. Decis. 2018, 56, 421–440. [Google Scholar] [CrossRef]
- Dhamija, P.; Gupta, S.; Bag, S. Measuring of job satisfaction: The use of quality of work life factors. Benchmarking Int. J. 2019, 26, 871–892. [Google Scholar] [CrossRef]
- Castellacci, F.; Viñas-Bardolet, C. Internet use and job satisfaction. Comput. Hum. Behav. 2019, 90, 141–152. [Google Scholar] [CrossRef] [Green Version]
- Primecz, H.; Csillag, S.; Toarniczky, A.; Bácsi, K.; Kiss, C.; Szilas, R.; Anda, M. Information and Communications Technology’s Impact on Work-life Interference: Cases of ‘Employee-friendly Organizations’. Intersections 2016, 2. [Google Scholar] [CrossRef]
- Thiruvenkadam, T.; Jayasingh, S. Determinants of Employee Happiness in an Information Technology Company in India. Int. J. Eng. Technol. 2018, 7, 173. [Google Scholar] [CrossRef]
- Huvila, I.; Ahmad, F. Holistic information behavior and the perceived success of work in organizations. Libr. Inf. Sci. Res. 2018, 40, 18–29. [Google Scholar] [CrossRef] [Green Version]
- Karimikia, H.; Singh, H.; Olesen, K. The Impact of Positive Informal Behaviors on the Effectiveness of Information Systems Departments. In Proceedings of the 2015 ACM SIGMIS Conference on Computers and People Research, Newport Beach, CA, USA, 4–6 June 2015. [Google Scholar] [CrossRef]
- Rashid, A.S.; Tout, K.; Yakan, A. The critical human behavior factors and their impact on knowledge management system-cycles. Bus. Process. Manag. J. 2021, 27, 1677–1702. [Google Scholar] [CrossRef]
- Oldham, G.R.; Silva, N.D. The impact of digital technology on the generation and implementation of creative ideas in the workplace. Comput. Hum. Behav. 2015, 42, 5–11. [Google Scholar] [CrossRef]
- Fabbri, T.; Mandreoli, F.; Martoglia, R.; Scapolan, A.C. Employee Attitudes and (Digital) Collaboration Data: A Preliminary Analysis in the HRM Field. In Proceedings of the 2019 28th International Conference on Computer Communication and Networks (ICCCN), Valencia, Spain, 29 July–1 August 2019. [Google Scholar] [CrossRef] [Green Version]
- Zeebaree, M.; Ismael, G.Y.; Nakshabandi, O.A.; Saleh, S.S.; Aqel, M. Impact of Innovation Technology in Enhancing Organizational Management. Stud. Appl. Econ. 2021, 38. [Google Scholar] [CrossRef]
- Sia, S.K.; Appu, A.V. Work Autonomy and Workplace Creativity: Moderating Role of Task Complexity. Glob. Bus. Rev. 2015, 16, 772–784. [Google Scholar] [CrossRef]
- Pigg, S.; Lauren, B.; Keller, E.J. Designing for learning experiences. In Proceedings of the 35th ACM International Conference on the Design of Communication, Halifax, NS, Canada, 11–13 August 2017. [Google Scholar] [CrossRef]
- Lee, S.; Yoo, Y.; Yun, S. Sharing my knowledge? An interactional perspective. J. Manag. Psychol. 2015, 30, 986–1002. [Google Scholar] [CrossRef]
- Chiu, C.M.; Hsu, M.H.; Wang, E.T. Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decis. Support Syst. 2006, 42, 1872–1888. [Google Scholar] [CrossRef]
- Ostermann, U.; Holten, R.; Franzmann, D. The Influence of Private Alternatives on Employees’ Acceptance of Organizational IS. Commun. Assoc. Inf. Syst. 2020, 47, 764–786. [Google Scholar] [CrossRef]
- Jalal, H.A.; Toulson, P. Knowledge sharing and organisational culture: The hidden moderator for competitive advantage. Int. J. Knowl. Manag. Stud. 2018, 9, 325. [Google Scholar] [CrossRef]
- Malik, S. The nexus between emotional intelligence and types of knowledge sharing: Does work experience matter? J. Workplace Learn. 2021, 33, 619–634. [Google Scholar] [CrossRef]
- Treviño, T.; Morton, F.; Cantu, L.Z. Managing digital workplace communications to maximise knowledge transfer: A collaborator’s perspective. Int. J. Knowl. Manag. Stud. 2021, 12, 114. [Google Scholar] [CrossRef]
- Zeiner, K.M.; Laib, M.; Schippert, K.; Burmester, M. Identifying Experience Categories to Design for Positive Experiences with Technology at Work. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, San Jose, CA, USA, 7–12 May 2016; ACM: New York, NY, USA, 2016. [Google Scholar] [CrossRef]
- Park, E.H.; Lee, Y.E. Center for Children’s Foodservice Management (CCFSM) Employees’ Perception of Difficulties in Performing Tasks. J. Korean Soc. Food Sci. Nutr. 2015, 44, 619–634. [Google Scholar] [CrossRef]
- Kozanoglu, D.C.; Abedin, B. Understanding the role of employees in digital transformation: Conceptualization of digital literacy of employees as a multi-dimensional organizational affordance. J. Enterp. Inf. Manag. 2020, 34, 1649–1672. [Google Scholar] [CrossRef]
- Sievers, F.; Reil, H.; Rimbeck, M.; Stumpf-Wollersheim, J.; Leyer, M. Empowering employees in industrial organizations with IoT in their daily operations. Comput. Ind. 2021, 129, 103445. [Google Scholar] [CrossRef]
- Zarraga-Rodriguez, M.; Alvarez, M.J. Experience: Information Dimensions Affecting Employees’ Perceptions Towards Being Well Informed. J. Data Inf. Qual. 2015, 6, 1–14. [Google Scholar] [CrossRef]
- Avram, E.; Priescu, I. Access to information and empowerment perspectives in health services. Procedia Soc. Behav. Sci. 2012, 33, 949–953. [Google Scholar] [CrossRef]
- Alhendawi, K.M.; Baharudin, A.S. The impact of interaction quality factors on the effectiveness of Web-based information system: The mediating role of user satisfaction. Cogn. Technol. Work 2013, 16, 451–465. [Google Scholar] [CrossRef]
- Colakoglu, S.; Chung, Y.; Ceylan, C. Collaboration-based HR systems and innovative work behaviors: The role of information exchange and HR system strength. Eur. Manag. J. 2021. [Google Scholar] [CrossRef]
- McAllister, C.P.; Harris, J.N.; Hochwarter, W.A.; Perrewé, P.L.; Ferris, G.R. Got Resources? A Multi-Sample Constructive Replication of Perceived Resource Availability’s Role in Work Passion–Job Outcomes Relationships. J. Bus. Psychol. 2016, 32, 147–164. [Google Scholar] [CrossRef]
- Gaudioso, F.; Turel, O.; Galimberti, C. The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Comput. Hum. Behav. 2017, 69, 189–196. [Google Scholar] [CrossRef]
- Xu, M.; Wang, W.; Ou, C.X.; Song, B. Does IT matter for work meaningfulness?: Exploring the mediating role of job crafting. Inf. Technol. People 2022. [Google Scholar] [CrossRef]
- Hwang, M.Y.; Hong, J.C.; Tai, K.H.; Chen, J.T.; Gouldthorp, T. The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant LINE users. Gov. Inf. Q. 2020, 37, 101423. [Google Scholar] [CrossRef]
- Braukmann, J.; Schmitt, A.; Ďuranová, L.; Ohly, S. Identifying ICT-Related Affective Events Across Life Domains and Examining their Unique Relationships with Employee Recovery. J. Bus. Psychol. 2017, 33, 529–544. [Google Scholar] [CrossRef]
- Lee, S.; Zhou, Z.E.; Xie, J.; Guo, H. Work-related use of information and communication technologies after hours and employee fatigue: The exacerbating effect of affective commitment. J. Manag. Psychol. 2021, 36, 477–490. [Google Scholar] [CrossRef]
- Camarena, L.; Fusi, F. Always Connected: Technology Use Increases Technostress Among Public Managers. Am. Rev. Public Adm. 2021, 52, 154–168. [Google Scholar] [CrossRef]
- Franssila, H. Mitigating workday fragmentation in knowledge work—Task management skill training intervention. In Proceedings of the European Conference on Cognitive Ergonomics, Siena, Italy, 26–29 April 2021; ACM: New York, NY, USA, 2021. [Google Scholar] [CrossRef]
- Santos, G.D. A RelaÇÃO Entre A Qualidade Da InformaÇÃO E Os Impactos Individuais Do Uso Da InformaÇÃO Em Uma Universidade PÚBlica. Revista de Gestão 2014, 21, 579–605. [Google Scholar] [CrossRef] [Green Version]
- Dhar, R.L. Reality shock: Experiences of Indian Information Technology (IT) professionals. Work 2013, 46, 251–262. [Google Scholar] [CrossRef]
- Zolper, K.; Beimborn, D.; Weitzel, T. When the River Leaves Its Bed: Analyzing Deviations between Planned and Actual Interaction Structures in IT Change Processes. J. Inf. Technol. 2013, 28, 333–353. [Google Scholar] [CrossRef]
- Waber, B.; Magnolfi, J.; Lindsay, G. Workspaces that move people. Harv. Bus. Rev. 2014, 92, 68–77. [Google Scholar] [PubMed]
- Loeschner, I. The technology mismatch paradox of mobile e-mail access: When changed norms of responsiveness meet technology undersupply. Inf. Soc. 2017, 33, 133–146. [Google Scholar] [CrossRef]
- Lee, C.S.; Watson-Manheim, M.B.; Chudoba, K.M. Investigating the relationship between perceived risks in communication and ICT-enabled communicative behaviors. Inf. Manag. 2014, 51, 688–699. [Google Scholar] [CrossRef]
- Hu, X.J.; Barber, L.K.; Park, Y.; Day, A. Defrag and reboot? Consolidating information and communication technology research in I-O psychology. Ind. Organ. Psychol. 2021, 14, 371–396. [Google Scholar] [CrossRef]
- Zagenczyk, T.J.; Purvis, R.L.; Cruz, K.S. Who matters to shared psychological climate perceptions? An investigation of social network tie types and attributes. Int. J. Hum. Resour. Manag. 2021, 32, 1–25. [Google Scholar] [CrossRef]
- Dahlan, M.K.M.; Abdullah, N.; Suhaimi, A.I.H. Abdullah, N.; Suhaimi, A.I.H. A Study on Supporting Factors of Digital Workplace Diffusion in Public Sector. In Communications in Computer and Information Science; Springer: Singapore, 2018; pp. 327–335. [Google Scholar] [CrossRef]
- Hartung, S.Q.; Miller, M. Rural Nurse Managers’ Perspectives into Better Communication Practices. J. Community Health Nurs. 2018, 35, 1–11. [Google Scholar] [CrossRef]
- Armengol-Vila, X. Managing Interactive communications with Employee: The effects oh social presence cues, personalization, and the speed of feedback. Intang. Cap. 2015, 11. [Google Scholar] [CrossRef] [Green Version]
- Zaza, I.; Junglas, I. IT Self-Service Engagement: A Theory of Trying Perspective. In Proceedings of the Thirty Seventh International Conference on Information Systems, Dublin, Ireland, 11–14 December 2016. [Google Scholar]
- Plumb, M.; Kautz, K. Barriers to the integration of information technology within early childhood education and care organisations: A review of the literature. arXiv 2016, arXiv:1606.00748. [Google Scholar]
- Ishak, N.; Azizan, M.A. Efficiency management of quality working environment in construction industry. In Proceedings of the 8th International Conference on Advanced Materials Engineering & Technology (ICAMET 2020), Langkawi, Malaysia, 26–27 November 2020; AIP Publishing: Langkawi, Malaysia, 2021. [Google Scholar] [CrossRef]
- Alwis, S.D.; Hernwall, P.; Adikaram, A.S. “It is ok to be interrupted it is my job”—Perceptions on technology-mediated work-life boundary experiences a sociomaterial analysis. Qual. Res. Organ. Manag. Int. J. 2022. [Google Scholar] [CrossRef]
- Pika, A.; Wynn, M.T. Workforce Upskilling: A History-Based Approach for Recommending Unfamiliar Process Activities. In Advanced Information Systems Engineering; Springer International Publishing: Cham, Switzerland, 2020; pp. 334–349. [Google Scholar] [CrossRef]
- Castelli, N.; Schönau, N.; Stevens, G.; Schwartz, T.; Jakobi, T. Role-Based Eco-Info Systems: An Organizational Theoretical View of Sustainable HCI at Work; ECIS: Münster, Germany, 2015. [Google Scholar]
- Andersen, T.K. Beyond Acceptance and Resistance: A Socio-Technical Approach to the Exploration of Intergroup Differences in ICT Use and Non-use at Work. Syst. Pract. Action Res. 2015, 29, 183–213. [Google Scholar] [CrossRef]
- Aljuwaiber, A. Technology-based vs. face-to-face interaction for knowledge sharing in the project teams. Int. J. Proj. Organ. Manag. 2019, 11, 227. [Google Scholar] [CrossRef]
- Wang, B.; Liu, Y.; Parker, S.K. How Does the Use of Information Communication Technology Affect Individuals? A Work Design Perspective. Acad. Manag. Ann. 2020, 14, 695–725. [Google Scholar] [CrossRef]
- Kang, M.; Sung, M. How symmetrical employee communication leads to employee engagement and positive employee communication behaviors. J. Commun. Manag. 2017, 21, 82–102. [Google Scholar] [CrossRef]
- Kulshreshtha, K.; Sharma, G. Understanding e-leadership: Please mind the gap. Technol. Forecast. Soc. Chang. 2021, 168, 120750. [Google Scholar] [CrossRef]
- Nygren, K.G.; Axelsson, K.; Melin, U. Public e-services from inside. Int. J. Public Sect. Manag. 2013, 26, 455–468. [Google Scholar] [CrossRef]
- Menshikova, M.; Fedorova, A.; Gatti, M. Introducing Smart-Working in the Conditions of Digital Business Transformation: Analysis of an Employee’s Experience. In Lecture Notes in Information Systems and Organisation; Springer International Publishing: Cham, Switzerland, 2020; pp. 59–71. [Google Scholar] [CrossRef]
- Dorsey, J.; Kaye, M.; Barratt, J.; Biondi, J.; Habrial, A.; Lane, A.; Marinelli, V.; Paulino, T.; Singletary, A. Using the WEIS-SR to evaluate employee perceptions of their college work environment. Work 2016, 54, 103–111. [Google Scholar] [CrossRef] [Green Version]
- Lorenz, E.; Åke Lundvall, B. Accounting for Creativity in the European Union: A multi-level analysis of individual competence, labour market structure, and systems of education and training. Camb. J. Econ. 2011, 35, 269–294. [Google Scholar] [CrossRef]
- Wang, Y.; Haggerty, N. Individual Virtual Competence and Its Influence on Work Outcomes. J. Manag. Inf. Syst. 2011, 27, 299–334. [Google Scholar] [CrossRef]
- Considine, E.; Cormican, K. The rise of the prosumer: An analysis of self-service technology adoption in a corporate context. Int. J. Inf. Syst. Proj. Manag. 2022, 5, 25–39. [Google Scholar] [CrossRef]
- Ringle, C.M.; Wende, S.; Becker, J.M.; SmartPLS 3. SmartPLS GmbH, Boenningstedt. 2015. Available online: http://www.smartpls.com (accessed on 26 June 2022).
- Ahmad, F.; Widén, G.; Huvila, I. The impact of workplace information literacy on organizational innovation: An empirical study. Int. J. Inf. Manag. 2020, 51, 102041. [Google Scholar] [CrossRef]
- Bala, H. The effects of IT-enabled supply chain process change on job and process outcomes: A longitudinal investigation. J. Oper. Manag. 2013, 31, 450–473. [Google Scholar] [CrossRef]
- Rukh, L.; Choudhary, M.A.; Abbasi, S.A. Analysis of factors affecting employee satisfaction: A case study from Pakistan. Work 2015, 52, 137–152. [Google Scholar] [CrossRef]
- Wet, W.D.; Koekemoer, E. The increased use of information and communication technology (ICT) among employees: Implications for work-life interaction. South Afr. J. Econ. Manag. Sci. 2016, 19, 264–281. [Google Scholar] [CrossRef]
- de Kok, A. The New Way of Working: Bricks, Bytes, and Behavior. In The Impact of ICT on Work; Springer: Singapore, 2016; pp. 9–40. [Google Scholar] [CrossRef]
- Rajamäki, S.; Mikkola, L. Newcomers in the Workplace. In Workplace Communication; Routledge: London, UK, 2019; pp. 69–82. [Google Scholar] [CrossRef]
- Gorakhia, N.; Chitranshi, J.; Nagendra, A.; Islam, T. Employee perception towards work from home in it sector. Indian J. Ecol. 2020, 47, 27–30. [Google Scholar]
- Anbarasan, V.; Mehta, N. An exploratory study on perceived quality of working life among sales professionals employed in pharmaceutical, banking, finance and insurance companies in Mumbai. Abhigyan 2009, 27, 70–82. [Google Scholar]
- Spector, P.E. Measurement of human service staff satisfaction: Development of the Job Satisfaction Survey. Am. J. Community Psychol. 1985, 13, 693–713. [Google Scholar] [CrossRef]
- Bertolotti, F.; Fabbri, T.; Mandreoli, F.; Martoglia, R.; Scapolan, A.C. Work datafication and digital work behavior analysis as a source of social good. In Proceedings of the 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 10–13 January 2020. [Google Scholar] [CrossRef]
- Amorim-Ribeiro, E.M.B.; Neiva, E.R.; Macambira, M.O.; Martins, L.F. WELL-BEING AT WORK IN PROCESSES OF ORGANIZATIONAL CHANGE: THE ROLE OF INFORMAL SOCIAL NETWORKS. RAM Rev. Adm. Mackenzie 2022, 23. [Google Scholar] [CrossRef]
- Manseau, J. AI in the Workplace: The Case of Intelligent Employee Assistants. AMCIS Proc. 2020, 11. Available online: https://aisel.aisnet.org/amcis2020/adoption_diffusion_IT/adoption_diffusion_IT/5 (accessed on 26 June 2022).
- Andersen, T.K. Employees’ Involuntary Non-Use of ICT Influenced by Power Differences: A Case Study with the Grounded Theory Approach. Interdiscip. J. Inf. Knowl. Manag. 2015, 10, 117–143. [Google Scholar] [CrossRef] [Green Version]
- Guo, X.; Reithel, B. Assessing the Utility of Mobile Computing Devices at Work: The Information Processing Support Index Framework. AMCIS Proc. 2014, 2. Available online: https://core.ac.uk/download/pdf/301361832.pdf (accessed on 26 June 2022).
- Clercq, D.D. Getting Creative With Resources: How Resilience, Task Interdependence, and Emotion Sharing Mitigate the Damage of Employee Role Ambiguity. J. Appl. Behav. Sci. 2019, 55, 369–391. [Google Scholar] [CrossRef]
- Korsakienė, R.; Stankevičienė, A.; Šimelytė, A.; Talačkienė, M. Factors driving turnover and retention of information technology professionals. J. Bus. Econ. Manag. 2014, 16, 1–17. [Google Scholar] [CrossRef]
ID | Research Questions (RQ) |
---|---|
RQ1 | What is ICX? |
RQ2 | What factors influence ICX? |
RQ3 | What methods are used for ICX evaluation? |
Database | Number of Studies | % Studies |
---|---|---|
Scopus | 961 | 48.8% |
Web of Science | 813 | 41.3% |
Science Direct | 119 | 6.0% |
ACM Digital Library | 76 | 3.9% |
Total | 1969 | 100% |
ID | Category | Criteria |
---|---|---|
IN1 | Inclusion | Articles published between 2012 and 2022 |
IN2 | Inclusion | Articles referring to research questions |
EX1 | Exclusion | Strictly organizational environment |
EX2 | Exclusion | Interaction with information |
EX3 | Exclusion | Information technologies at work |
Approach | Studies |
---|---|
Employee Experience | [25,26] |
Information Literacy | [27,28,31,33,80] |
Information Management | [36,37,38] |
Information Sharing | [12,39,57,72,73,75,76] |
Technology Acceptance Model | [2,3,8,46,47,48,49,50,51,52,54,55,56] |
Job Satisfaction | [59,60,61,63] |
User Experience | [18,37,57,71,79] |
Knowledge Learning Network | [27,71] |
Social Science | [14] |
ICT usage at the workplace | [10,12,14,39,67,68,69,81] |
Conservation of Resources Theory | [13] |
Dimension | Category | CX Dimension | Factors | Studies |
---|---|---|---|---|
Personal | Data Availability | Pragmatic | Access | [67,83,89] |
Pragmatic | Exposure | [67,83,89] | ||
Cultural | Relational | Power distance | [12] | |
Personality | Relational | Sociability | [59] | |
Relational | Dominance | [59] | ||
Emotional | Stress | [15] | ||
Cognitive | Resistance Behavior | [16] | ||
Competency | Cognitive | self-sufficiency | [105,106] | |
Social | Information Sharing | Relational | Communication activity | [12] |
Relational | Communication through different hierarchical levels | [12] | ||
Lifestyle | Quality of working life | [107,108] | ||
Relational | Friendship opportunities | [13] | ||
Cognitive | Experience Level | [26] | ||
Organizational | Information Quality | Pragmatic | Accuracy | [82,94] |
Pragmatic | Completeness | [82] | ||
Pragmatic | Opportunity | [82] | ||
Technology characteristics | Pragmatic | Technology Reconfigurability | [88] | |
Pragmatic | Technology Customization | [88] | ||
Organizational Structures | Pragmatic | Technology usage policies | [14] | |
Pragmatic | Equipment policies | [14,98] | ||
Pragmatic | Task performing standards | [14] | ||
Pragmatic | Authority related rules | [12,14] | ||
Relational | Hierarchical level | [12] | ||
Relational | Staff responsibility | [12] | ||
Lifestyle | Culturally driven Organization | [12] |
Type | Method | Studies |
---|---|---|
Interview | Semi-structured Interviews | [1,3,14,33,37,46,52,78,81,90,95,96,111,112,126] |
Questionnaire | Adapted Scaled Questionnaire | [13,16,28,30,42,47,48,49,50,53,54,55,56,57,63,68,72,74,75,76,82,84,86,87,92,96,124,129,137,138] |
SSTQUAL Questionnaire | [121] | |
ACRL Questionnaire | [27] | |
Quality of Work Life Scale Questionnaire | [60] | |
WEIS-SR Questionnaire | [118] | |
Job Satisfaction Survey | [59,60] | |
Intra-Company Crowdsourcing Questionnaire | [9] | |
Conceptual | Customer Journey Map (CJM) | [25] |
Social Network Analysis | [68,71,96,133] | |
Modelling | Grounded Theory | [103,134,135] |
Ontological methods | [14,71] | |
Statistical | Information Processing Support Index (IPSI) | [136] |
Modelling | Statistical Analysis (Regression, PLS, SEM, LGM) | [13,16,27,28,30,42,47,48,49,50,53,54,55,56,59,63,68,72,74,75,76,82,84,85,86,87,90,101,118,121,124,125,137,138] |
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Godoy, M.P.; Rusu, C.; Ugalde, J. Information Consumer Experience: A Systematic Review. Appl. Sci. 2022, 12, 12630. https://doi.org/10.3390/app122412630
Godoy MP, Rusu C, Ugalde J. Information Consumer Experience: A Systematic Review. Applied Sciences. 2022; 12(24):12630. https://doi.org/10.3390/app122412630
Chicago/Turabian StyleGodoy, María Paz, Cristian Rusu, and Jonathan Ugalde. 2022. "Information Consumer Experience: A Systematic Review" Applied Sciences 12, no. 24: 12630. https://doi.org/10.3390/app122412630