IT服务质量评价研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着经济和信息全球化的高速发展,和信息技术的发展,信息技术的社会化分工日益明确。IT服务在企业中的重要性不断增强。由于该领域利润丰厚且市场前景广阔,使得IT服务项目成为国内外各类IT公司的必争之地。调查研究表明,顾客对服务质量的评价已经成为IT外包服务商们关注的焦点。现今IT外包服务商所面临的主要问题有:一是服务质量存在差距。不能满足客户企业需求或对可能出现的潜在风险认识不足,削弱了客户对该业务的接受程度和新需求;二是服务效果的衡量。无论是服务商还是客户对服务的效果都难以用适度的标准来衡量。同时工T服务项目本身有种类繁多、业务复杂程度高、失败率高等特点,这些都影响着IT服务商业务水平的评估和提升。IT行业普遍采用工TIL或其他标准来进行工T服务的管理,但对工T服务的质量情况没有统一的评价方法。因此,构建一个合理的IT外包服务质量评价体系,将服务商角度的IT服务管理和关注客户满意角度的IT服务质量评估相结合是至关重要的。
     本文的研究主要是以管理学理论、顾客感知理论等为主要基础,综合IT外包服务使用者和工T运维行业专家的意见,以成熟的服务评价方法SERVQUAL模型和IT外包服务特征和IT运维服务特征为核心,构建IT服务质量综合评价指标体系。通过运用问卷调查,样本基本情况分析、因子分析、信度效度检验等统计学方法对原有指标体系进行修正,最终确定了面向工T外包的服务质量评价体系,和面向ERP的IT运维服务质量评价体系。
     面向IT外包的服务质量评价体系包含可靠性、前瞻性、回应性、移情性和有形性的五个维度十八项指标的评价体系。然后应用熵值法客观地确定指标权重,利用D-S证据理论从权重和各个指标的基本支持度中提取评价信息,逐层计算各层指标的基本概率分配函数,客观地对当前IT外包服务水平的综合情况进行评价。同时结合IT服务质量评价领域较常用的模糊综合评价方法的研究结论,进一步讨论D-S证据理论在工T外包服务评价领域的适用性问题。
     面向ERP的丁T运维服务质量评价体系的构建,兼顾了ITIL标准的KPI。该评价指标体系包含及时性、可靠性、相应性、移情性和信任性五个维度,共27个指标。
     研究结果表明目前国内IT外包服务质量水平处于表现较好(略高于一般水平)。前瞻性方面“e23:具备先进的业务水平应对信息技术的迅猛发展”获得顾客评价最差;有形性方面“e52:TT服务人员外表举止谈吐都专业得体”获得顾客的评价最差;移情性方面“e41:主动对您的服务需求进行询问和了解”获得顾客的评价最差;可靠性方面“e15:IT服务过程中产生的文档和数据妥善安全的保存”获得顾客的评价最差。针对评价结果,本文给出一些改进服务水平的措施和建议。
     本文的创新性体现在以下方面:将工T服务质量评价细分为面向IT外包的服务质量评价与面向IT内部运维的服务质量评价,以实证分析的研究范式,分别构建了两个IT服务质量评价体系;尝试引入成熟的SERVQUAL模型,提出关注客户感知的IT服务质量评价体系;将熵值法与D-S证据推理的方法相结合,用于工T服务质量评价的评价信息综合过程中,这个方法的好处是基于客观的调查数据,消除了研究者的主观偏好对研究结果的干预;同时在信息综合的过程中获得对各层指标的信度函数。对各层指标的状况,有全面的认识;D-S证据推理方法对问卷数据的要求降低了,而且允许后期补充调查的数据作为证据,重新融合计算,减少了调研的成本。
     本文提出的两个工T服务质量评价体系,为IT服务行业的管理者提供了管理分析工具。本文采用的研究方法:“熵值法+DS证据推理”的方法组合未见报道。该方法可供其他研究者借鉴。
With economic globalization and the rapid development of information technology, social division of information technology workforce is becoming increasingly clear. IT services in the enterprise's growing importance. As the lucrative field of market prospects and makes all kinds of IT services into domestic and foreign IT companies. Research shows that customer service quality evaluation has become the focus of attention of the IT outsourcing service providers. IT outsourcing service providers today face major problems:First, the quality of service, can not meet customer business needs or possible lack of knowledge of potential risks, reduced customer acceptance of the business and new demand; second, service effectiveness. Whether it is service provider or customer service results are difficult to use appropriate standards. IT services while the project itself has a wide range of business complexity of the high failure rate, etc., which affect the level of IT service provider business assessment and improvement. ITIL or other commonly used standard for IT service management, but the quality of IT services is no uniform method of evaluation. Therefore, build a reasonable IT outsourcing service quality evaluation system, the service provider point of view of IT service management and focus on customer satisfaction point of view of the combination of IT service quality assessment is essential.
     This study mainly based on management theory, customer perception theory as the main basis of comprehensive IT outsourcing services, operation and maintenance of users and IT industry experts, to mature SERVQUAL model of service evaluation and characteristics of IT outsourcing services and IT operations and maintenance characteristics as the core service, quality of IT services to build comprehensive evaluation index system. Through the use of questionnaires, the sample data analysis, factor analysis, reliability and validity testing and other statistical methods to amend the original index system, and ultimately determine the quality of service for IT outsourcing evaluation system, and IT operations and maintenance for ERP service quality evaluation system.
     IT outsourcing services for the quality evaluation system include reliability, forward-looking, responsiveness, empathy and tangibility of the five dimensions of eighteen indicators of evaluation system. Then apply the entropy method to objectively determine the index weights, using D-S evidence theory and the various indicators from the weight of the basic support in the evaluation of information extracted, layer by layer calculate the basic indicators of the probability distribution of each layer function, an objective of the current level of IT outsourcing services comprehensive evaluation of the situation. Combined with the field of IT service quality evaluation is more commonly used method of fuzzy comprehensive evaluation of research findings, further discussion of D-S evidence theory in the field of IT outsourcing services to evaluate the applicability of the problem.
     The IT service quality evaluation system for ERP operation and maintenance include timeliness, reliability, responsiveness, empathy and trust of the five dimensions of 27 indicators.
     The results show that the domestic IT outsourcing service quality levels in the better performance (slightly higher than normal level).In Forward-looking aspect, "e23:the level of advanced information technology to meet the needs of business with rapid development " get the worst customer comment s; In Tangibility aspect,"e52:IT services, professional staff looks are decent conversation manners" to obtain the customer's evaluation of the worst; In Empathy aspect, in terms of "e41:take the initiative to ask your service needs and understanding" to obtain the customer' s evaluation of the worst; In Reliability, "e15:IT services generated in the process of documentation and data to properly secure the preservation of "get the customer's evaluation of the worst. For the evaluation results, this paper presents a number of measures to improve the level of service quality.
     The innovation in the paper is reflected in the following areas:evaluation of the quality of IT services segment of quality evaluation of IT outsourcing services and quality evaluation of internal IT service for operation and maintenance, research framework for empirical analysis, were used to construct the two IT service quality evaluation system; attempt to introduce mature SERVQUAL model, a focus on customer perception, to IT service quality evaluation system; the entropy and DS evidence reasoning method combined for IT service quality evaluation process of comprehensive evaluation of the information. The advantage is, based on an objective survey data, eliminating the subjective preferences of the researcher's intervention; while the information obtained in the course of a comprehensive of the basic support function of each layer indicators, the status of each layer of indicators gets a comprehensive understanding, DS evidence reasoning method to lower the questionnaire data, and allow the latter part of the survey data as supplementary evidence, re-integration of the calculation, reducing research costs.
     In this paper, two IT service quality evaluation systems provide management analysis tools for the IT services industry managers. This approach of the study, the combination of methods "entropy+DS evidence reasoning" is not been reported. This method is available to other researchers to use.
引文
[1]Pinnington A. and Wool cock. How far is ISPIT outsourcing enabling new organizational structure and competences [J].International Journal of Information Management,1995,15(5).120-122
    [2]Lacity.M and Hirschheim.R. Realizing outsourcing expectations[J].Information Systems Management,1994,11(4).33-35
    [3]CCW RESEARCH(计世资讯).IT服务市场预期乐观-中国IT年度报告[N]计算机世界2004
    [4]CCW RESEARCH.2009-2010年中国IT服务市场发展趋势研究报告[R].计世资讯,2010.3
    [5]Gronroos,C. Service quality:The six criteria of good perceived service quality [J]. Review of business,1988,9:10-13
    [6]Galletta. D.F and Lederer.A.Some cautions on the measurement of user information satisfaction[J] Decision Sciences 7(3),1989:419-438
    [7]McKeen, J.D.and H. A. Smith.The relationship between information technology use and organizational performance[J]. Strategic Information Technology Management,1993:405-445.
    [8]Kettinger, W. J. and Lee, C. C.Perceived Service Quality and User Satisfaction with the Information Service Fuction,1994:737-766.
    [9]Parasuraman A.Valarie A Zeithaml and Leonard Berry. A Conceptual Model of Ser2 vice Quality and Its Implications for Future Research [J]. Journal of Marketing,1985,49 (3):223-236.
    [10]Luis Kalb Roses,Norberto Hoppen,Jorge Luiz Henrique.Management of perceptions of information technology service quality[J]. Journal of Business Research,2009 (62):876-882.
    [11]Kettinger, W. J. and Lee, C. C.Perceived Service Quality and User Satisfaction with the Information Service Fuction,1994:737-766.
    [12]Pitt, Ley land F., Watson,Richard T.and Kavan,C. Bruce. Service quality:A measure of information systems effectiveness[J] MIS Quarterly,1995(19): 173-187
    [13]Pitt,Leyland F.,Watson,Richard T.and Kavan,C. Bruce.Measuring information systems service quality:Concerns for a complete canvas[J] MIS Quarterly, 1997(21):209-221.
    [14]Kettinger,William J.and Lee,Choong C. Replication of Measures in Information Systems Research:The Case of IS SERVQUAL[J]Decision Sciences, 1999(30):893-899.
    [15]Van Dyke,Thomas P.,Kappelman,Leon A.and Prybutok,Victor R. Measuring information systems service quality:Concerns on the use of the SERVQUAL questionnaire[J].MIS Quarterly,1997(21):195-208.
    [16]Jiang,James J.,Klein,Gary and Crampton,Suzanne M. A Note on SERVQUAL Reliability and Validity in Information System Service Quality Measurement[J]. Decision Sciences,2000(31):725-744.
    [17]Helen Kang,Graham Bradley.Measuring the performance of IT services:An assessment of SERVQUAL[A].International Journal of Accounting Information Systems 3 (2002) 151-164.
    [18]Hollis Landrum, Victor R. Prybutok,A service quality and success model for the information service industry[J].European Journal of Operational Research 156 (2004):628-642.
    [19]Kettinger William J, Lee Choong C. Zones Of Tolerance:Alternative Scales For Measuring Information Systems Service Quality[J].MIS Quarterly,2005,29(4): 72-93.
    [20]Luis Kalb Roses,Norberto Hoppen,Jorge Luiz Henrique.Management of perceptions of information technology service quality[J]. Journal of Business Research 62 (2009) 876-882.
    [21]Lacity,M.,Hirschheim,R.Implementing Information Systems Outsourcing:Key Issues and Experiences of an Early Adopter[J]. Journal of General Management,1993.
    [22]Pinnington A. and Wool cock P. How far is ISPIT outsourcing enabling new organizational structure and competences[J]. International Journal of Information Management,1995,15(5):120-122
    [23]程扬.我国商业银行IT外包适用性分析[J].电子商务,2006:65-67
    [24]聂丹丹,田金玉.中小企业信息化建设的新思路IT外包[J].中国管理信化,2006,10(9):24-27
    [25]秦仪.IT外包关系质量研究[J].管理学报,2006,11:85-86
    [26]栾东庆,常伟等.基于eSCM-SP的IT外包服务商能力度量与改进[J].计算机科学,2007,(34):12-15
    [27]李吉梅,宋铁英.信息系统服务质量评价研究综述[J].情报杂志,2007,(4):47-48
    [28]钱之芩.1T服务质量评价体系的研究[J].华北科技学院学报,2009,1(1)74-77
    [29]张军,涂国平.对D-S证据理论中冲突证据的一种新的处理方法[J].统计与决策,2007(13).
    [30]BeynonM.J. B.Curry and P.H.Morgan.TheDemPster-Shafer Theory of Evidenee: An Alternative Approaeh to Multieriteria Deeision Modelling [J]. OMEGA,2000, 28(1),37-50.
    [31]Beynon,M.DS/AHP method:A Mathematieal Analysis,Including an Understanding of Uneertalnty[J].EuroPean Journal of Operational Researeh,2002,140(1),149-165.
    [32]Ahmadzadeh MR, Petrou M, Use of Dempster-Shafer theory to combine classifiers which use different class boundaries, PATTERN ANAL APPL,2003, Vol:6, Pages:41-46,
    [33]Weizhi Wu, Jusheng Mi. Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence [J].Lecture Notes in Computer Science, Springer Berlin,2006,10.
    [34]Lili Wang, Bing Yang A Method of Roads Extraction from Aerial City Images Using Dempster-Shafer Theory of Evidence [J] Journal of Software 2005(16):1534-1541.
    [35]Nic Wilson. Default Logic and Dempster-Shafer Theory [J].Symbolic and Quantitative Approaches to Reasoning and Uncertainty,2008.
    [36]Ronald R.Yager. Decision Making Under Dempster-Shafer Uncertainties [J].Studies in Fuzziness and Soft Computer, Springer Berlin/Heidelberg, 2008,10.
    [37]杨善林,陆文星,梁昌勇.基于证据理论的IT项目风险因素评估方法[J].合肥工业大学学报(自然科学版),2006,12(12):44-46
    [38]鞠彦兵,王爱华基于证据理论的风险收益评价模型及其应用[J].数学的实践与认识,2006,12:78-82
    [39]王雪荣,一种基于证据理论的动态综合效绩评价实用方法[J].中国管理科学,2006:08-10
    [40]周旭,朱卫东,吴勇.基于BP网络和证据理论的商业银行竞争力评价[J].工业技术经济,2007,1
    [41]黄冠亚,赵全明等.D-S证据理论在综合评估中的应用[J].微计算机信息(管控一体化),2007,24.
    [42]杨丽徙,郭建宇,程杰.证据理论和层次分析法相结合的新农村电气化电能质量评估[J].电力系统保护与控制,20097(16):26-30
    [43]杨波,左美云,方美琪.信息技术外包理论和实务评述[J]外国经济与管理,2003(9):8-9
    [44]梁新弘.论信息技术外包的动因、风险及防范[J],科技管理研究,2004(1):64-66
    [45]Altinkemer, K., Chaturvedi, A., Gulati, R., Information systems outsourcing: Issues and evidence, International Journal of Information Management,1994, Vol.14:252-268
    [46]Willocks, L.P., Fitzgerald, G., Lacity, M., To outsourcing or not? Research on Economics and Evaluation Practice, European Journal of Information Systems,1996, Vol.5, No.3:143-160
    [47]Jurison, J., Patane, J., Tan, M., An examination of information systems outsourcing practices in large USfirms:Implications for global service providers, Proceeding of the 1993 Pan Pacific Conference on Information Systems:18-21, Kaohsiung, Taiwan;
    [48]张云川,IT外包服务及其执行过程风险规避的研究[D],华中科技大学,2005(10):21-23
    [49]WJKettinger, CC Lee.Pragmatic Perspectives on the Measurement of Information Systems Service Quality[J].MIS Quarterly.1997.21(2)P223 — 240
    [50]Watson, R.T., Pitt, L.F., and Kavan, C.B..Measuring Information Systems Service Quality:Lessons From Two Longitudinal Case Studies[J].MIS Quarterly, 1998 (3):61-79.
    [51]LeylandPitt, PierreBerthon, NikalaLane. "Gaps within the 15 department: barriers to service quality" [J]. Journal of Information Technology,1998. (13):191 — 200
    [52]HelenKang, Graham Bradley. Measuring the Performance of IT serviees:An assessment of SERVQUAL[J].International Journal of Accounting Information Systems,2002(3):151-160
    [53]林芳在,郭仓仪.制造业信息部门的服务质量之研究[C].北京.中华人民共和国质量学会第四十届年会暨第十届全国质量管理研讨会.2002
    [54]张玉林,仲伟俊,张毅.信息部门服务品质度量的实证研究[C].成都.信息系统协会中国分会2006年学术研讨会.2006
    [55]Parasuraman, A. Valarie A.Zeithaml, and Leonard L.Berry, A Conceptual Model of Service Quality and Its Implications for Future Research[J].Journal of Marketing,1985 (49):41-50.
    [56]Parasuraman, Zeithaml, Berry, "A Multiple-Item Scale For Measuring Consumer Perceptions of Service Quality "Journal of Retailing,1988(1),P 12-40.
    [57]刘爱梅,李光华,周国华,基于证据理论的企业IT部门内部服务质量综合评价[J].科技管理研究,2008(6):307-309
    [58]Shafer G.A. Mathmatical Theory of Evidence[M].Princeton University.1976
    [59]段新生.证据理论与决策、人工智能[M].北京:中国人民大学出版社,1993
    [60]段新生.证据决策[M].北京:经济科学出版社,1996:P54-77
    [61]Yang J B. Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties[J]. European Journal of Operational Research,2001(131):31-61.
    [62]Yang J B and Xu D L. On the evidential reasoning algorithm for multi-attribute decision analysis under uncertainty [J]. IEEE Transactions on Systems, Man, and Cybernetics,2002,32(3):289-304.
    [63]杨保安,张科静.多目标决策分析.[M]东华大学出版社.2008(1):28-30
    [64]唐文彬,韩之俊.基于熵值法的财务综合评价方法[J].南京理工大学学报,2001(12):650-653
    [65]Pearson,S.Measurement of computer User Satisfaction[D]. Arizona State University,Tempe.1977
    [66]Ives, B.,Olson,M.H. and J.J.Baroudi. The Measure of User Information Satisfaction[J].Communications of ACM,1983,26(10):785-793.
    [67]Raymond,L. Validating and Applying User Satisfaction as a Measure of MIS Success in Small Organization[J].Information & Management, 1987,12(4):173-179.
    [68]DeLone,W.H. and E.R.McLean.Information Systems Success:The Quest for the Dependent Variable[J],Information Systems Research,1992,3(1):60-95.
    [69]吴瑞明.ERP系统使用者满意度之关键因素研究——以K公司为例[D]大同大学,2003
    [70]Jian-bo Y, Pratyush S. Multiple Attribute Design Evaluation of Complex Engineering Products Using the Evidential Reasoning Approach[J].Journal of Engineering Design.1997,8(3):211-230.
    [71]刘先勇,袁长迎,段宝福,周方洁SPSS10.0统计分析软件与应用[M]北京国防工业出版社.2002,P339.
    [72]宋之杰.一种多指标综合评价中确定指标权重的方法[J]燕山大学学报,2002(1) :24-27
    [73]王明涛.多指标综合评价中权数确定的一种综合方法[J]系统工程,1999.4(2)56-61
    [74]于洋,李一军.基于多策略评价的绩效指标权重确定方法研究[J]系统工程理论与实践,2003(8):8-15
    [75]郭显光.改进的熵值法及其在经济效益评价中的应用[J]系统工程理论与实践,1998(12):98-102.
    [76]张文泉,张世英,江立勤,基于熵的决策评价模型及应用,1995(3):69-74.
    [77]郑贤斌,陈国明,基于人工神经网络的油库安全综合评价方法[J]人类工效学2004,10(2):13-19.
    [78]于贤福,秦勇.汕库安全的灰色模糊综合评判[J].工业安全与环保,2003,29(8) :28-0.
    [79]余华军,范世东,姚玉南.油库综合安全评价的AHP-Fuzzy方法研究[J]中国水运,2006,4(2):136-37.
    [80]曹玉俊.证据理论中的证据合成方法[J].西安交通大学学报1997.6(6):106-110
    [81]杨海峰,侯朝帧.证据理论组合公式的分析与改进[J]计算机工程,2005.4(7):21-23
    [82]王壮,胡卫东,郁文贤,庄钊文.基于均衡信度分配准则的冲突证据组合方法[J]电子学报,2001.12(12A):1852-1854
    [83]陈曦,许学斌.甚于证据理论的人才遴选方法研究[J].现代管理科学,2005.10
    [84]梁世翔,严新平.基于D-S证据理论的园区物流企业迁移评价模型研究[J]武 汉理工大学学报,2007.7(7):122-125
    [85]汪云亮.一种新的基于权重系数的证据理论合成方法[J].20079(5):43-46
    [86]杜峰,施文康,邓勇.证据特征提取及其在证据理论改进中的应用[J].上海交通大学学报,2004.10(38):164-168
    [87]钟文,刘纯平,朱近,夏德深.基于证据理论与多源信息融合的银行信贷客户评价[J].南京理工大学学报,200312(6):691-694
    [88]程华,杜思伟,徐萃华,林家骏.基于DS证据的信息融合算法多指标融合[J].华东理工大学学报(自然科学版),2011.8(4):483-486
    [89]宋巧娜.基于证据理论的绿色供应链绩效评价[J].安徽农业科学,20117(21):13177—13179
    [90]郭进平,尚旭光,卢才武.基于D—S理论的企业安全绩效综合评定研究[J].中国安全科学学报.2011.4(4):150-155
    [91]蒋黎明,何加浪,张宏.D—S证据理论中一种新的冲突证据融合方法[J].计算机科学,2011.4(4):236-238
    [92]康健,李一兵,谢红,林云.D-S证据理论与信息熵结合的新算法[J].弹箭与制导学报,2011.2(1):197-200
    [93]贾红龙.基于SERVQUAL的信息技术服务质量评价模型研究[J].信息技术与标准化.2010.3:52-55
    [94]张明英,林宁,冯惠,周平,王志鹏.基于ITSQEM的IT服务质量研究[J].计量机应用与软件.20111(1):157-160
    [95]付庆华.一种基于ITIL的商业银行IT运维管理系统设计方法[J].软件导刊.2008.4(4):126-127
    [96]张晨曦,王晓东,许乐.一种基于ITIL的IT运维中心模型设计[J].微计算机信息、2009.11(3):35-37
    [97]陈晖.基于ITIL的变更和发布管理在ERP系统中的应用[J]中国制造业信息化.,2011.3(5):26-30
    [98]陈晖.基于ITIL的事故管理在ERP系统中的应用[J].微计算机信息,2009.8(3):149-151
    [99]Wei Chun-Chin. Evaluating the performance of an ERP system based on the knowledge of ERP implementation objectives[J]. The International Journal of Advanced Manufacturing Technology.2008.10(1):168~181
    [100]Luis Kalb Roses,Norberto Hoppen.Jorge Luiz Henrique. Management of perceptions of information technology service quality [J].2009.9(9):876-882
    [101]张守和,朱振权,黄文杰.基于模糊属性测度的IT外包服务商核心竞争力评价方法研究[J]数学的实践与认识,2011.2(3):22-29
    [102]潘星晨,白庆华.基于ITIL的企业IT外包管理研究[J].情报杂志,2010 12(12):50-52
    [103]汪祖柱,周正柱,周小希.企业选择IT外包服务商的模糊综合评价研究[J].武汉理工大学学报(信息与管理工程版),2010.4(2):289-293
    [104]杨波,殷国鹏.中国IT服务外包企业能力研究[J],管理学报,20102(2):199-203
    [105]刘林森.印度:走向全球的IT外包[J].信息化建设,2009.11(11):52-55
    [106]黄斐.企业IT外包决策主要动因的理论综述研究[J].中国软科学2009.9(9):217-222
    [107]周小希,陈勇.信息技术(IT)外包的服务商评价与选择研究[J].内蒙古科技与经济,2009.4(7):49-50
    [108]张惠萍,俞兆云,陈旭.基于IT外包角度的信息服务业发展策略——以福建省为例[J].科技和产业,20091(1):16-20
    [109]国奕军,诸克军,李宏余.基于二层模糊多目标模型的IT服务外包互动研究[J].系统工程理论与实践,2008.12(12):76-83
    [110]罗文.信息技术服务的业务模式研究[J]计算机工程与应用,2010.7(21):55-58
    [111]杨建华,张群信息技术服务的运作管理研究[J].中国管理信息化,2010.4(7):70-73
    [112]欧阳树生,王强,周勇,丁德康.信息技术服务及其标准化的实践与探索[J].上海标准化,2010.9:49-53