With the booming development and widespread use of intelligent robots and big data, a large number of artificial intelligence (AI) technologies have emerged in the workplace, bringing many challenges to traditional human resource management. This not only changes the business process and work content of employees, but also increases the time pressure and threat of substitution, which makes people unable to focus on innovation activities and becomes a major obstacle to employee innovation. Although many scholars have analyzed the possible positive or negative effects of AI technology applications from different perspectives, the "double-edged sword" effect of AI usage on employees' innovation behavior has not been explored in depth from an integrated perspective. From the perspective of positive effects, AI technologies can reduce mechanical and repetitive tasks, so that employees have more time and energy to focus on innovative parts and increase the possibility of achieving innovative results. However, at the same time, AI technology leads to AI replacement fear while increasing individual time pressure, which further decreases employees' sense of organizational support and reduces innovative behavior. Therefore, the impact of AI usage on employees' innovative behavior is both positive and negative. Hence, on the basis of job requirement-resource model, this study explores the "double-edged sword" effect of AI technology application on innovation behavior through the loss path of job requirement (mediated by job insecurity) and the gain path of job resource (mediated by perceived job autonomy), as well as the moderating effect of learning goal orientation. #br#Two independent studies are conducted through contextual experimental and questionnaire methods.specifically,study 1 uses a two-factor intergroup experimental design(AI usage: high vs. low; learning goal orientation: high vs. low) . A questionnaire including manipulation test, job insecurity, perceived job autonomy and innovative behavior is distributed to 300 subjects, with 278 valid questionnaires retrieved. Study 2 selects employees from four companies applying AI in Shenzhen and Beijing as the research subjects. After two rounds of investigation about the AI usage, learning goal orientation and demographic variables, and assessment of job insecurity, perceived job autonomy, and innovation behavior, 418 valid questionnaires are obtained.#br#To test the hypotheses, a series of analyses based on a contextual experimental method and a multi-stage questionnaire are made. The empirical results indicate that AI usage had a significant positive effect on job insecurity; job insecurity played a mediating role in the relationship between AI usage and employees' innovative behavior; AI usage had a significant positive effect on employees' perceived job autonomy; perceived job autonomy played a mediating role in the relationship between AI usage and employees' innovative behavior; learning goal orientation positively moderates the relationship between AI usage and job insecurity and plays a moderating role in the indirect effect of AI usage influencing employees' innovative behavior through job insecurity; learning goal orientation positively moderates the relationship between AI usage and perceived job autonomy and plays a moderating role in the indirect effect of AI usage influencing employees' innovative behavior through perceived job autonomy.#br#This study makes several theoretical and managerial contributions. First, it comprehensively examines the "double-edged sword" effect of AI usage on employees' innovative behavior, and vividly presents the positive and negative effects of AI usage on employees' innovative behavior, thus providing a comprehensive and dialectical research perspective for AI usage in the context of organizational management research. Second, by exploring the "black box" between AI usage and employees' innovative behavior from the perspective of both job requirements and job resources, it broadens the study of the indirect influence mechanism of AI usage. Third, this study introduces the key moderating variable of learning goal orientation, and explores the boundary mechanism of the "double-edged sword" effect of AI usage on employees' innovative behaviors from the perspective of individual control over work. The study helps managers to intervene in advance to enhance the positive effects of AI usages on employees' psychological and behavioral behaviors.#br#
[1] 王振源, 姚明辉. 工作场所人机协作对员工影响的研究述评[J]. 外国经济与管理, 2022, 44(9): 86-102.
[2] 张建民, 顾春节, 杨红英. 人工智能技术与人力资源管理实践:影响逻辑与模式演变[J]. 中国人力资源开发, 2022, 39(1): 17-34.
[3] FREY C B, OSBORNE M A. The future of employment: how susceptible are jobs to computerisation[J]. Technological Forecasting and Social Change, 2017, 114: 254-280.
[4] TANG P M, KOOPMAN J, MCCLEAN S T, et al. When conscientious employees meet intelligent machines: an integrative approach inspired by complementarity theory and role theory[J]. Academy of Management Journal, 2022, 65(3): 1019-1054.
[5] 朱晓妹, 王森, 何勤. 人工智能嵌入视域下岗位技能要求对员工工作旺盛感的影响研究[J]. 外国经济与管理, 2021, 43(11): 15-25.
[6] 王才, 周文斌, 赵素芳. 机器人规模应用与工作不安全感-基于员工职业能力调节的研究[J]. 经济管理, 2019, 41(4): 111-126.
[7] YAM K C, TANG P M, JACKSON J C, et al. The rise of robots increases job insecurity and maladaptive workplace behaviors: multimethod evidence[J]. Journal of Applied Psychology, 2022, 24(2): 1-21.
[8] VERMA S, SINGH V. Impact of artificial intelligence-enabled job characteristics and perceived substitution crisis on innovative work behavior of employees from high-tech firms[J]. Computers in Human Behavior, 2022, 131:107215.
[9] MIRBABAIE M, BRUNKER F, FRICK N R J, et al. The rise of artificial intelligence-understanding the AI identity threat at the workplace[J]. Electronic Markets, 2022, 32(1): 73-99.
[10] DEMEROUTI E, BAKKER A B, NACHREINER F, et al. The job demands-resources model of burnout[J]. Journal of Applied Psychology, 2001, 86(3): 499-512.
[11] KARASEK R A. Job demands, job decision latitude, and mental strain: implications for job design[J]. Administrative Science Quarterly, 1979, 24: 285-308.
[12] VANDEWALLE D, CUMMINGS L L. A test of the influence of goal orientation on the feedback-seeking process[J]. Journal of Applied Psychology, 1997, 82(3): 390-400.
[13] VANDEWALLE D, CRON W L, SLOCUMl J W. The role of goal orientation following performance feedback[J]. Journal of Applied Psychology, 2001, 86(4):629-640.
[14] CRAIG K, THATCHER J B, GROVER V. The IT identity threat: a conceptual definition and operational measure[J]. Journal of Management Information Systems, 2019, 36(1): 259-288.
[15] 刘平青, 刘园园, 刘东旭, 等. 助推力还是绊脚石? 工作不安全感对个体创新行为的“双刃剑”影响[J]. 科技进步与对策, 2022, 39(6): 130-140.
[16] DOWNES P E, CRAWFORD E R, SEIBERT S E, et al. Referents or role models? the self-efficacy and job performance effects of perceiving higher performing peers[J]. Journal of Applied Psychology, 2021, 106(3): 422-438.
[17] GREENHALGH L, ROSENBLATT Z. Job insecurity: toward conceptual clarity[J]. Academy of Management Review, 1984, 9(3): 438-448.
[18] 马冰, 杨蓉, 杜旌, 等. 居危思变？工作不安全感对创新行为的差异化影响[J]. 心理科学进展, 2022,30(11): 2381-2394.
[19] SELENKO E, MAKIKANGAS A, STRIDE C B. Does job insecurity threaten who you are? introducing a social identity perspective to explain well-being and performance consequences of job insecurity[J]. Journal of Organizational Behavior, 2017, 38(6): 856-875.
[20] SCOTT S G, BRUCE R A. Determinants of innovative behavior: a path model of individual innovation in the workplace[J]. Academy of Management Journal, 1994, 37(3): 580-607.
[21] 孙健敏, 陈乐妮, 尹奎. 挑战性压力源与员工创新行为:领导—成员交换与辱虐管理的作用[J]. 心理学报, 2018, 50(4): 436-449.
[22] HOOTEGEM A V, NIESEN W, DE WITTE H. Does job insecurity hinder innovative work behaviour? a threat rigidity perspective[J]. Creativity & Innovation Management, 2019, 28(1): 19-29.
[23] CORDERY J L, MORRISON D, WRIGHT B M, et al. The impact of autonomy and task uncertainty on team performance: a longitudinal field study[J]. Journal of Organizational Behavior, 2010, 31(2-3): 240-258.
[24] DAVENPORT T H, BRYNJOLFSSON E, MCAFEE A, et al. Artificial intelligence: the insights you need from Harvard Business Review[M]. Boston, MA: Harvard Business Press, 2019.
[25] RAISCH S, KRAKOWSKI S. Artificial intelligence and management: the automation-augmentation paradox[J]. Academy of Management Review, 2021, 46(1): 192-210.
[26] PARKER S K, GROTE G. Automation, algorithms, and beyond: why work design matters more than ever in a digital world[J]. Applied Psychology, 2022, 71(4): 1171-1204.
[27] THOMAS C H, LANKAU M J. Preventing burnout: the effects of LMX and mentoring on socialization, role stress, and burnout[J]. Human Resource Management, 2009, 48(3): 417-432.
[28] KIRMEYER S L, SHIROM A. Perceived job autonomy in the manufacturing sector: effects of unions, gender, and substantive complexity[J]. Academy of Management Journal, 1986, 29(4): 832-840.
[29] NG T W H, LORENZO L. Within-individual increases in innovative behavior and creative, persuasion, and change self-efficacy over time: a social-cognitive theory perspective[J]. Journal of Applied Psychology, 2016, 101(1): 14-34.
[30] EDWARDS J R, LAMBERT L S. Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis[J]. Psychological Methods, 2007, 12(1): 1-22.
[31] 李锐, 田晓明, 柳士顺. 仁慈领导会增加员工的亲社会性规则违背吗[J]. 心理学报, 2015, 47(5): 637-652.
[32] PALUCH S, TUZOVIC S, HOLZ H, et al. "My colleague is a robot": exploring frontline employees' willingness to work with collaborative service robots[J]. Journal of Service Management, 2022, 33(2): 363-388.
[33] 谢小云, 左玉涵, 胡琼晶. 数字化时代的人力资源管理:基于人与技术交互的视角[J]. 管理世界, 2021, 37(1): 200-216.
[34] REYNOSO J M, OLFMAN L, RYAN T, et al. An information systems design theory for an expert system for training[J]. Journal of Database Management, 2013, 24(3): 31-50.
[35] LI J, BONN M A, YE B H. Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: the moderating roles of perceived organizational support and competitive psychological climate[J]. Tourism Management, 2019, 73: 172-181.
[36] 罗文豪, 霍伟伟, 赵宜萱, 等. 人工智能驱动的组织与人力资源管理变革:实践洞察与研究方向[J]. 中国人力资源开发, 2022,39(1): 4-16.
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