信息系統(tǒng)研究行為學(xué)派

1、信息系統(tǒng)研究的行為學(xué)派,孫永強武漢大學(xué)信息管理學(xué)院,1,報告框架,,信息系統(tǒng)學(xué)科簡介,,信息系統(tǒng)行為學(xué)派相關(guān)理論,,信息系統(tǒng)行為學(xué)派研究方法,2,學(xué)科簡介,3,4,Izak Benbasat,Robert W. Zmud,信息系統(tǒng)與信息科學(xué)的區(qū)別與聯(lián)系？,信息系統(tǒng),交叉學(xué)科屬性,經(jīng)濟(jì)學(xué),信息系統(tǒng),計算機(jī)科學(xué),工程學(xué),管理科學(xué),市場營銷學(xué),管理學(xué),心理學(xué)與社會學(xué),教育學(xué),,,,,,,,,技術(shù)性范疇,行為學(xué)范疇,5,6,三大研究流派,I

2、zak Benbasat,,,,,Jay Nunamaker,A. B. Whinston,7,研究主題,,,,,電子商務(wù),技術(shù)采納,知識管理,IT戰(zhàn)略,人機(jī)交互,移動商務(wù),電子醫(yī)療,社交媒體,信任,隱私,技術(shù)抵制,技術(shù)擴(kuò)展,技術(shù)壓力,知識共享,知識整合,項目管理,創(chuàng)新,生產(chǎn)力悖論,IT能力,吸收能力,敏捷性,治理,推薦系統(tǒng),電子口碑,媒體豐富度,交互性,8,學(xué)術(shù)期刊,,,,,MIS QuarterlyInformation Syst

3、ems Research,Journal of Management Information SystemsJournal of the Association for Information Systems,European Journal of Information SystemsInformation Systems Journal,Journal of Information TechnologyJournal of S

4、trategic Information Systems,Source：http://www.vvenkatesh.com/isranking/,University Ranking: Top 8 Journal, 2007-2011. Source： http://www.vvenkatesh.com/isranking/,9,D. Straub,Arun Rai,Izak Benbasat,Paul Pavlou,Angelika

5、Dimoka,Ritu Agarwal,Bernard Tan,V. Venkatesh,J. Nunamaker,Hsinchun Chen,Paulo Goes,Andrew Whinston,Doug Vogel,K K Wei,10,學(xué)術(shù)期刊,,,,,交叉學(xué)科,管理科學(xué),管理學(xué),營銷學(xué),DSS,I&M,IJHCS,IEEE-TEM,MS,OR,POM,JOM,AMJ,AMR,ASQ,SMJ,OS,JCR,JMR,JM,J

6、IBS,MktS,JASIST,其他學(xué)科A類,交叉B類,11,學(xué)術(shù)期刊,,,,,Source： http://jindal.utdallas.edu/the-utd-top-100-business-school-research-rankings/list-of-journals/,12,學(xué)術(shù)會議,,,,,ICIS (每年5月初截稿，12月中開會）,,,,ECIS (每年12月初截稿，次年6月中開會）,AMCIS (每年3月初截稿，8

7、月中開會）,PACIS (每年3月初截稿，7月中開會）,HICSS (每年6月中截稿，次年1月中開會）,13,學(xué)術(shù)組織,,,,,,Doug Vogel,Association for Information Systems,Source: http://start.aisnet.org/,K. K. Wei,Chair,Fellows,T. P. Liang,B. C. Y. Tan,理 論,14,什么是理論？,15,K. R. Po

8、pper,理論的定義,Falsifiability,證偽原則,Proposition,TentativeSolution,ErrorElimination,Isaac Newton,Albert Einstein,,16,,理論的定義,,Concepts,Relationships,+,,,,,What,How,Why,When,17,常見理論關(guān)系,,,,IndependentVariable,DependentVariable

9、,Main Effect,Direct Effect,18,常見理論關(guān)系,,,,IndependentVariable,DependentVariable,Black Box,Mediating Effect,,Mediator,Indirect Effect,19,常見理論關(guān)系,,,,IndependentVariable,DependentVariable,BoundaryScope,Moderating Effect,,

10、Moderator,Interaction Effect,20,常見理論關(guān)系,,,IV,DV,Inverted-U Effect,21,常見理論關(guān)系,,,,ModeratedMediating,,,22,常見理論關(guān)系,,Mediated Moderating,,,,,23,常見理論關(guān)系,,ModeratedInverted-U,,,,Inverted-U Effect,,IV,DV,,Low,High,24,常見理論關(guān)系,,Inve

11、rted-UModerating,,,,Inverted-U,IV,DV,中,低,高,25,理論基礎(chǔ),,Theories Used in IS Research,http://istheory.byu.edu/wiki/Main_Page,TRA,TPB,TTF,IS Success,Social Capital,Social Identity,Social Exchange,26,方 法,27,命題與假設(shè),,,,,Conceptu

12、al Level,Operational Level,Constructs,Propositions,Variables,Hypotheses,28,數(shù)據(jù)收集,Experiment,Survey,Interview,Secondary Data,Observation,29,1st和2nd 統(tǒng)計技術(shù),IV1,DV2,DV1,IV1,DV1,IV1,DV2,DV1,IV1,DV2,,,,,,,,,,Test the measurement

13、 model first Pack items into variable (e.g., mean),30,潛在與觀測變量,Reputation of WHU’s SIM,RISC1: Highly rated by iSchools.,RISC2: Listed as one of the best IM school.,RISC3: Recommended by scholars.,LatentVariable,Observab

14、leVariable,Cannot be directly observed,Can be directly observed,31,反射與組成測量,Reputation of WHU’s SIM,Reputation of WHU,Highly Rated,Listed in best,Recom.,SIMRepu.,EMSRepu.,…,It is an issue of how to measure it rather th

15、an what the construct should be.,32,一階與二階變量,Reputation of WHU,SIM Repu.,EMSRepu.,…,,,,,,,Second-order construct,First-order construct,Items,Second-order construct as a strategy for balancing simplicity and comprehensiven

16、ess. The relationship between first- and second-order constructs can be reflective or formative. Selection between first- and second-order construct: abstraction level and research objective (e.g., social capital).,33,

17、測量與結(jié)構(gòu)模型,IV,DV,,,,,,,Measurement Model,Measurement Model,Structural Model,34,探索性與驗證性因子分析,V1,,,,V2,,,,V1,,,,V2,,,,Unknown, unspecified Blackbox,35,基于方差與協(xié)方差的結(jié)構(gòu)方程模型,,,,,,,,,,,,Model Structure,Match,IV,DV,Data Structure,PLS-

18、SEM (Partial Least Squares): Pursue the max. R-square explained. Make the DV more predictable.,CB-SEM (Covariance-based): Pursue the match between data and model. Make the model more reliable.,36,工具選擇標(biāo)準(zhǔn),If CB-SEM i

19、s applicable, taking CB-SEM as the priority (exploratory – confirmatory goal is questionable) – more rigor in algorithm. PLS-SEM can be a good approximation of CB-SEM even when the study is confirmatory in nature (stron

20、g theoretical foundation) – A silver bullet.,37,報告結(jié)構(gòu),38,軟件與統(tǒng)計量,39,中介作用分析,Baron & Kenny (1986),Step 1: IV?DV (Sig.),Step 2: IV?Me (Sig.),Step 3: (IV, Me)?DV,If IV?DV (Sig), Me?DV (NS): No mediating.If IV?DV (Sig), Me

21、?DV (Sig.): PartialIf IV?DV (NS), Me?DV (Sig.): Full,Sobel’s Z test: (IV?Me) * (Me ? DV) ≠ 0,Zhao et al. (2010): Step 1 is not needed; multiple opposite mediators.,40,調(diào)節(jié)作用分析,Continuous Variables (Chin 2003),Step 1: Sta

22、ndardize variables.,Step 2: Interaction component IVM=IV*Mo,Step 3: (IV, Mo)?DV,Step 4: (IV, Mo, IVM)?DV,If IVM?DV (Sig.), moderating support. Check R-square change between step 3 and 4.,Category Variables (Keil et al.

23、2002),Step 1: Run data using different sub-samples.,Step 1: Compare the path coefficients for the same path.,41,倒U型作用分析,y=b0+a1*x2+a2*x+e,Test a1<0,42,結(jié)語,You may truly understand only when using it!,Systematically lea

24、rn the fundamental and heuristically learn the required!,No perfect, only appropriate!,Analysis is not driven by data but built on theory!,Excellent method brings B to A, bad method takes A to B!,43,Stay Hungry, Stay Foo