[Purpose/significance] As social platforms become increasingly prominent in people's everyday lives,how to give full play to the role and value of these social platforms and improve the effectiveness of platform use has become an important issue to be solved in various application fields.And the need for focused research related to the usage effectiveness of social platform has become particularly important.From the perspective of users' behavior, it is a beneficial exploration to explore the construction of evaluation index for effective use of social platforms.[Method/process] Based on the prior research of IS effective use,this paper developed a measurement scale on effective use of social platform under the specific situation of job hunting by a mixed method research with the literature research,user interview,expert interview and Exploratory Factor Analysis(EFA),and verified the applicability and practicability of the scale through structural equation model analysis of the survey data.[Result/conclusion] The developed scale has good reliability and validity in evaluating the effective use of social platforms in the job hunting filed,and then providing practical suggestions for the improvement of the platform. On the other hand, this study also provides ideas for the research of IS effective use in other task contexts. The constructed measurement scale for effective use can also be applied to other systems through appropriate modifications.
[1] BENSON V, HAND C, HARTSHORNE R. How compulsive use of social media affects performance:insights from the UK by purpose of use[J]. Behaviour & information technology, 2019, 38(6):549-563.
[2] 范哲,赵宇翔,朱庆华. 元分析方法在社会化媒体采纳和使用中的应用探索[J]. 情报理论与实践,2017,40(9):116-122.
[3] ASHRAF R U, HOU F, AHMAD W. Understanding continuance intention to use social media in China:the roles of personality drivers, hedonic value, and utilitarian value[J]. International journal of human-computer interaction, 2019, 35(13):1216-1228.
[4] HONG W, CHAN F K Y, THONG J Y L, et al. A framework and guidelines for context-specific theorizing in information systems research[J]. Information systems research, 2014, 25(1):111-136.
[5] BURTON-JONE A, VOLKOFF O.How can we develop contextualized theories of effective use? a demonstration in the context of community-care electronic health records[J]. Information systems research,2017,28(3):468-489.
[6] JOBVITE.The 2018 recruiter nation survey[EB/OL].[2019-07-01].https://www.jobvite.com/wp-content/uploads/2018/11/2018-Recruiter-Nation-Study.pdf.
[7] 艾瑞网.2019年中国网络招聘行业发展报告[EB/OL].[2019-07-01].https://www.iresearch.com.cn/Detail/report?id=3409&isfree=0.
[8] DUERSCH J. A comparison of social media job search versus traditional job search methods on employment of students with moderate to severe disabilities[D].Utah:Utah State University,2013.
[9] POTKÁNY M, HAJDUKOVÁ A. Social networks and their importance in job searching of college students[J]. Verslas teorijair rraktika, 2015, 16(1):75-83.
[10] STOPFER J M, GOSLING S D. Online social networks in the work context[A]//DERKS D, BAKKER A. The psychology of digital media at work. London:Psychology Press,2013:39-59.
[11] 范哲,钮燕.高校学生求职中的社会化媒体搜索行为研究[J].情报杂志,2015,34(3):186-191.
[12] BURTON-JONES A, GRANGE C. From use to effective use:a representation theory perspective[J]. Information systems research, 2013, 24(3):632-658.
[13] MARCOLIN B L, COMPEAU D R, MUNRO M C. Assessing user competence:conceptualization and measurement[J]. Information systems research, 2000, 11(1):37-60.
[14] VALENTINA N, MILORAD T. Exploring factors for effective use of online information in SPOC within the engineering education[J]. Computer applications in engineering education, 2018(26):1457-1469.
[15] MORENO V, CAVAZOTTE F, ALVES I. Explaining university students' effective use of e-learning platforms[J]. British journal of educational technology, 2017,48(4):995-1009.
[16] BURTON-JONES A, GALLIVAN M J. Toward a deeper understanding of system usage in organizations:a multilevel perspective[J]. MIS quarterly,2007,31(4):657-79.
[17] BURTON-JONES A, STRAUB D W. Conceptualizing system usage:an approach and empirical test[J]. Information systems research, 2006, 17(3):228-246.
[18] CAMPBELL D E, ROBERTS N. Effective use of analytic DSS and job performance:looking beyond technology acceptance[J].Journal of organizational computing and electronic commerce,2019,29(2):125-138.
[19] MARIE M, LOUIS R.Performance measurement and management systems as IT artifacts:characterising, contextualising and valuing their effective use in SMEs[J]. International journal of productivity and performance management,2018,67(7):1214-1233.
[20] DAVIS F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. Mis quarterly, 1989, 13(3):319-339.
[21] HSU C L, LIN C C. Acceptance of blog usage:the roles of technology acceptance, social influence and knowledge sharing motivation.[J]. Information & management, 2008, 45(1):65-74.
[22] VENKATESH V, DAVIS F D. A theoretical extension of the technology acceptance model:four longitudinal field studies[J]. Management science, 2000, 46(2):186-204.
[23] WASKO M M, GANGI P M D. Social media engagement theory:Exploring the influence of user engagement on social media usage[J].Journal of organizational and end user computing(joeuc), 2016, 28(2):53-73.
[24] DICKINGER A, ARAMI M, MEYER D. The role of perceived enjoyment and social norm in the adoption of technology with network externalities[J]. European journal of information systems, 2008, 17(1):4-11.
[25] Lu H P, Yang Y W. Toward an understanding of the behavioral intention to use a social networking site:an extension of task-technology fit to social-technology fit[J]. Computers in human behavior, 2014, 34(5):323-332.
[26] SUN H, FANG Y,ZOU H M.Choosing a fit technology:understanding mindfulness in technology adoption and continuance[J]. Journal of the association for information systems, 2016, 17(6):377-412.
[27] VENKATESH V, BALA H. Technology acceptance model 3 and a research agenda on interventions[J]. Decision sciences, 2008, 39(2):273-315.
[28] DELONE W H, MCLEAN E R. The DeLone and McLean model of information systems success:a ten-year update[J]. Journal of management information systems, 2003, 19(4):9-30.
[29] ALEXANDRU B. BALOG A. Testing a multidimensional and hierarchical quality assessment model for digital libraries[J]. Studies in informatics & control, 2011, 20(3):233-246.
[30] WIXOM B H, TODD P A. A theoretical integration of user satisfaction and technology acceptance[J]. Information systems research, 2005, 16(1):65-102.
[31] GATTIKER T F, GOODHUE D L. What happens after ERP implementation:understanding the impact of interdependence and differentiation on plant-level outcomes[J]. Mis quarterly, 2005,29(3):559-585.
[32] PAVLOU P A, SAWY O A E. From IT leveraging competence to competitive advantage in turbulent environments:the case of new product development[J]. Information systems research, 2006, 17(3):198-227.
[33] KUEGLER M, SMOLNIK S, KANE G. What's in IT for employees? Understanding the relationship between use and performance in enterprise social software[J]. Journal of strategic information systems, 2015, 24(2):90-112.
[34] VENKATESH V, MORRIS M G, DAVIS G B,et al. User acceptance of information technology:toward a unified view[J]. Mis quarterly, 2003, 27(3):425-478.
[35] URBACH N, SMOLNIK S, RIEMPP G. An empirical investigation of employee portal success[J]. Journal of strategic information systems, 2010, 19(3):184-206.
[36] NIKOLAOU I. Social networking web sites in job search and employee recruitment[J]. International journal of selection & assessment, 2014, 22(2):179-189.
[37] BOLLEN K A, TING K F. A tetrad test for causal indicators[J]. Psychological methods, 2000, 5(1):3-4.
[38] RINGLE C M, SARSTEDT M, STRAUB D W. Editor's comments:a critical look at the use of pls-sem in mis quarterly[J]. Mis quarterly, 2012,36(1):3-14.
[39] LATAN H, RAMLI N A. The results of partial least squares-structural equation modelling analyses (pls-sem)[J]. Social science electronic publishing, 2013(12):1-35.
[40] CHIN W W, NEWSTED P R. Structural equation modeling analysis with small samples using partial least squares[J]. Statistical strategies for small sample research, 1999, 1(1):307-341.
[41] HAIR J F, SARSTEDT M,PIEPER T M, et al. Applications of partial least squares path modeling in management journals:a review of past practices and recommendations for future applications[J]. Social science electronic publishing, 2013, 45(5/6):320-340.