Lecture 9: Digital Organizational culture Flashcards

(68 cards)

1
Q

What is organizational culture critical for?

A
  • Organizational effectiveness
  • Competitive advantage
  • Strategy
  • Successful response to challenging environments
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2
Q

Collective meaning perspective

A

Organizational culture is “a complex set of values, beliefs, assumptions, and symbols that define the way in which a firm conducts its business” or “the patterns of shared values and beliefs that help individuals understand the organizational functioning and thus provide them with norms for behavior in the organization”. The core of this concept is shared values across organization members, reflecting the assumption that individual behaviours are constrained by cultural values.

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3
Q

Toolkit perspective

A

Rather than being constrained by culture, individuals have freedom to use cultural resources from the cultural toolkit to justify and construct their actions. Made up of:
- Cultural Resources: “Heterogeneous bits of culture that include widely recognized schematic identities, frames, roles, stories, scripts, justifications, and moralities” [[3]]
- Toolkit: “Sets or ‘grab bags’ of stories, frames, categories, rituals, and practices that actors draw upon to make meaning or take action” [[3]]
- Frames: Different people have access to different cultural resources (their “frames”) and use these to construct/justify actions [[3-4]]
This perspective assumes individuals are agentic (free to construct frames however they see fit) and choose actions based on salient frames [[4]].
Despite differences, both perspectives include values, though the toolkit perspective doesn’t assume these values are regulative

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4
Q

Digitalization

A

The process by which digital technologies transform social and organizational domains, restructuring or repurposing them around digital communication and media infrastructures. Key distinctions:
- Digitization: Converting analog data into bitstrings (1s and 0s)
- Digitalization: Transforming processes and relationships (e.g., Apple’s iTunes)
rom an organizational perspective, successful digitalization requires configuring/reconfiguring digital objects into digital resources to create value

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5
Q

Digital objects

A

Nonmaterial bitstrings carried by material or nonmaterial bearers (e.g., audio file on hard drive)

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6
Q

Digital resources

A

“A specific class of digital objects that:
(a) are modular,
(b) encapsulate objects of value, assets, and/or capabilities,
(c) are accessible by way of a programmatic bitstring interface”

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7
Q

Emancipatory functions

A
  • Digital technologies facilitate inclusion and free expression
  • Allow organization members with different values to contribute to cultural resources
  • Enhance communication visibility for easier spread of cultural resources
  • Can encourage value diversification (fewer shared values)
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8
Q

Hegemonic functions

A
  • Enable powerful figures to shape public values
  • Make some values more visible than others
  • Allow leaders to share values more effectively
  • Can intensify marginalization of certain values
  • both natures demand new cultural perspectives that combine collective meaning and toolkit perspectives
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9
Q

Digital culture

A

“An organization’s overarching toolkits for using digital resources to transform practices of creating social and/or economic value”. Differs to IT culture which :Focuses on digital technologies as traditional material resources while Digital culture: Focuses on digital technologies as digital resources to transform business activities

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10
Q

Digital adhocracy culture

A
  • Definition: Overarching toolkits for using digital resources to achieve flexibility to generate new products and ideas to lead the industry
  • Cultural Resources: Empowering employees, asking for new ideas, fast temporary projects, dynamic business models, open-source competitions, highly risky innovation
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11
Q

Digital clan culture

A
  • Definition: Overarching toolkits for using digital resources to achieve flexibility to unite members of the organization
  • Cultural Resources: Crowdsourcing decision-making, collaboration-facilitating environments, scalable learning, displaying digital competency to employees, nurturing employees, attracting employees who understand business and digital technologies, distributed leadership
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12
Q

Digital market culture

A
  • Definition: Overarching toolkits for using digital resources to compete effectively in the market
  • Cultural Resources: Data-driven decision-making, digital experiments, muting highest-paid person’s opinion, encouraging 24/7 customer connections, employees as brand ambassadors online, precise simulations, data-informed marketplace domination
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13
Q

Digital hierarchy culture

A
  • Definition: Overarching toolkits for using digital resources to achieve tight control and monitoring over the organization
  • Cultural Resources: Monitoring and control enabled by digitalization, data security, data quality control, process standardization, accurate manufacturing and precise operations
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14
Q

Which 2 broad factors influence digital culture development?

A
  1. External Environmental Factors:
    • Digitalization in society
    • Potential digital disruptions
    • Environmental contingencies and institutional exemplars [[8-9]]
  2. Internal Sociostructural Factors:
    • Digital business strategy: Fusion between IT strategy and business strategy
    • Digital leadership: Doing the right things for strategic success of digitalization
    • Digital investment: Facilitating digitalization
    • Digital infrastructure: Basic technological and organizational structures
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15
Q

What are the 3 scenarios of digital culture formation?

A
  1. IT culture → Cultural conflict → Digital culture (most likely)
  2. IT culture → Cultural conflict → Reversion to IT culture (unlikely, leads to company failure)
  3. Start with digital culture (typical for new startups)
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16
Q

Strategies for considering culture from different perspectives

A
  1. Sequential Strategy: View digital culture from one perspective first, then the other
  2. Parallel Strategy: Use both perspectives simultaneously to highlight differences and conflicts
  3. Bridging Strategy: Leverage similarities between perspectives to bridge them
  4. Interplay Strategy: Recognize contrasts and similarities among different paradigms
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17
Q

Digital disruptions

A
  • Stable environment: Collective meaning perspective might be more appropriate
  • Digitally disruptive environment: Toolkit perspective first, then see if repeatedly used resources crystallize into stable values
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18
Q

What are the practical implications of Grover et al?

A
  1. Looking at culture from a combined view can help managers nurture a culture that fosters successful digitalization
  2. The paper’s definition of digital culture and exemplary values/cultural resources can help managers build digital culture for their organizations
  3. Digital culture is fundamental to building theories on the digital age and understanding the transformative abilitiy
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19
Q

Why is AI transformative?

A

reshaping traditional work practices across various industries from manufacturing and healthcare to finance and retail [[1]]. As organizations leverage AI capabilities to automate routine tasks, enhance decision-making processes, and drive innovation, it’s important to understand that this integration is not merely technological but engenders profound changes in organizational cultures and work practice. AI integration can have far-reaching implications for organizational culture, including concerns about job displacement, skills obsolescence, and resistance to change

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20
Q

What is the problem statement of Murire et al?

A

There is a limited understanding of how AI integration into organizational work practices influences cultural transformation. Most existing studies focus on technical aspects of AI or its impact on productivity, overlooking broader cultural implications. Objectives:
1. Investigate the benefits of AI in organizational work practices
2. Analyze potential challenges and resistance during AI-driven cultural transformation
3. Develop recommendations for effective cultural transformation management

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21
Q

Why is Murire’s study significant?

A

Understanding the cultural implications of AI is critical for organizations seeking to leverage AI technologies effectively. This study:

  • Explores the relationship between AI integration and organizational culture
  • Informs strategic decision-making processes
  • Contributes to the development of tailored change management strategies
  • Examines ethical considerations and governance frameworks
  • Empowers organizational leaders with actionable recommendations
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22
Q

How is AI reshaping organizational norms, values and engagement?

A
  • Redefining roles and responsibilities
  • Enabling employees to engage in complex problem-solving activities
  • Shifting culture toward innovation and creativity
  • Facilitating communication and collaboration through AI-powered platforms
  • Increasing employee engagement and participation in decision-making
    Challenges include:
  • Cultural resistance during AI integration
  • Ethical considerations requiring frameworks for AI use
  • Potential algorithmic bias despite AI’s ability to enhance diversity and inclusion
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23
Q

Which organizations are more likely to adopt AI?

A

AI adoption often encounters resistance when it threatens established practices or job security. Organizations with cultures of innovation and openness are more likely to successfully adopt AI compared to those with rigid hierarchical structures

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24
Q

What other research findings did Murire et al find?

A
  • AI is transforming job roles and skill requirements toward more advanced technical and analytical competencies
  • Automation of routine tasks has both positive and negative effects on employee morale
  • Leadership roles are evolving, requiring adaptation to new technologies
  • Ethical implications of AI in the workplace include transparency, fairness, and accountability concerns
  • AI can optimize work processes but requires rethinking traditional workflows
  • Human-AI collaboration is a critical area of study, with AI augmenting human capabilities rather than replacing them
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25
Organizational culture theory
- Organizational culture encompasses shared beliefs, values, and norms that shape how members perceive and interact within an organization - AI adoption introduces changes not only in workflows but also in cultural norms and practices - AI fundamentally alters how work is performed, potentially disrupting established norms - Culture is not static but evolves through interactions between individuals and organizational systems - Technology both shapes and is shaped by organizational culture, creating a dynamic interplay
26
How does AI enhance efficiency and productivity?
- AI technologies significantly enhance efficiency by automating routine tasks and augmenting decision-making - Streamlines workflows, reduces manual errors, increases operational efficiency - Allows reallocation of resources from repetitive tasks to strategic initiatives - Employees can focus on high-value activities requiring creativity and critical thinking
27
How does AI inform data-driven insights and decision-making?
- AI enables organizations to harness vast amounts of data for actionable insights - Machine learning algorithms analyze complex datasets, identify patterns, provide recommendations - Empowers organizations to anticipate market trends, identify growth opportunities, mitigate risks
28
How does AI personalize costumer experiences?
- AI enables real-time analysis of customer data and preferences - Natural language processing and recommendation algorithms tailor products, services, and marketing - Enhances customer satisfaction, loyalty, and retention
29
How does AI enhance innovative business models and revenue streams?
- AI enables exploration of previously unattainable business models - Organizations can create new value propositions and monetize data assets - Diversifies income sources and increases resilience to market disruptions
30
Role of employee resistance as a challenge?
- Resistance stems from fear of the unknown and anxiety about negative impacts - Employees may feel threatened by technological disruption, fearing job displacement - Resistance manifests as skepticism, pushback, and reluctance to embrace AI initiatives - Can impede adoption, delay timelines, and reduce return on investment - Mitigation requires transparent communication, reassurance about human value, and upskilling opportunities
31
Ethical implications of AI?
- AI raises ethical dilemmas about privacy, transparency, and algorithmic biases - Ethical concerns can undermine trust, integrity, and reputation - Neglecting ethical implications can lead to legal liabilities and reputational damage - Requires development of ethical frameworks, governance mechanisms, and accountability structures
32
How does AI lead to leadership and communication challenges?
- Leaders play pivotal role in articulating vision for AI integration - Inadequate leadership can lead to confusion, resistance, and disengagement - Leaders must demonstrate commitment, transparency, and empathy - Failure to communicate rationale for AI adoption increases resistance - Clear direction and support throughout adoption process is essential
33
How does AI lead to skills and talent gaps?
- AI integration requires specialized skills in data science, machine learning, and AI engineering - Global shortage of AI talent creates recruitment and retention challenges - Skills gaps can impede implementation, limit innovation, and hinder growth - Requires investment in training, partnerships with educational institutions, and talent acquisition strategies
34
How to ensure successful AI integration?
- Effective change management is crucial for AI-driven cultural transformation - Aligning AI initiatives with organizational strategy is essential for long-term success - Organizations must implement proactive strategies that align technological integration with cultural values - Fostering a culture of learning, transparency, and accountability is important - Inclusive decision-making and clear communication channels mitigate resistance - Employee engagement and ownership of AI initiatives facilitate cultural adaptation - Case studies across healthcare and manufacturing show complex interplay between AI adoption and cultural transformation
35
Recommendations for implementing AI?
1. Promote cultural alignment by integrating AI adoption into broader cultural initiatives 2. Address barriers through transparent communication and robust governance frameworks 3. Invest in training and development to build necessary skills and capabilities 4. Ensure AI adoption aligns with existing cultural values 5. Invest in continuous learning and upskilling programs 6. Involve employees at all levels in the AI adoption process 7. Establish clear ethical guidelines and policies 8. Promote a culture of innovation and experimentation 9. Continuously monitor and evaluate AI's impact on organizational culture 10. Facilitate cross-functional collaboration 11. Maintain balance between AI-driven efficiency and meaningful human interactions
36
Main conclusions of Murire et al?
The integration of AI into organizational work practices offers substantial benefits while requiring strategic alignment with organizational culture. Key takeaways: - Cultural alignment and change management are critical for successful AI integration - Organizations must address barriers to adoption to unlock AI's full potential - Leaders must prioritize cultural alignment, organizational development, and continuous improvement - Embracing these principles positions organizations for success in the future of work
37
What is a key perspective mentioned by Parker and Grote?
proactive perspective that focuses not just on how humans need to adapt to technology, but how work designs and technology can be adapted to better meet human needs, competencies, and values
38
What are the key characteristics of the current technological revolution?
- **Fourth Industrial Revolution**: Highlights the core role of AI and machine learning, with a shift of agency from humans to technology as systems become capable of self-directed learning [[3]] - **Ubiquitous Computing**: Computer sensors and devices are linked to objects, people, and environments, "weaving themselves into the fabric of everyday life" (Weiser, 1991) [[3]] - **Hyperconnected and Data Saturated World**: Refers to the automatic collection of vast amounts of digital data as technology becomes part of all work-related activities [[3-4]] - **STARA**: Smart Technology, Artificial Intelligence, Robotics, and Algorithms that collectively reshape where people work, information access, collaboration patterns, and work designs
39
What makes this time different?
Unlike previous technological revolutions, the combination of big data and AI enables machines to substitute humans in cognitive and higher-skill domains. Complex cognitive tasks and knowledge work are increasingly being automated [[4]]. AI-based systems can "learn on their own," reshaping the interaction between technology and humans in unprecedented ways
40
Why is work design the heart of understanding and shaping new technologies?
1. There is a sound body of knowledge on the relationship between work design and outcomes 2. Effects of digital technologies on work design are not deterministic but depend on various factors 3. Organizations can actively make choices to improve technology's effect on work design
41
What is the role of job autonomy and control?
- Allows individuals to actively manage demands (stress perspective) - Enhances meaning and motivation at work (job characteristics model) - Supports efficient decision-making (sociotechnical systems perspective) [[5]] Two types of autonomy/control are identified: 1. **Decision-making as part of work processes**: Including influence over general decisions, timing of tasks, and work methods [[8]] 2. **Choice over where and when to work**: Related to flexible working patterns
42
What are the positive and negative effects of technology on autonomy?
**Positive effects** of technology on autonomy: - Enables decentralized decision-making through wider distribution of information - Technology-enabled work practices like agile development can increase job autonomy - Internet-enabled knowledge supports enhanced self-organization [[8]] **Negative effects** of technology on autonomy: - "Out of the loop" performance problems where operators become unable to detect system errors - "Automation surprises" where actions performed by automated systems are unexpected - Algorithmic management reducing employee control - Expectations for constant connectivity reducing control over work-life boundaries
43
Human-centred automation
approaches aim to ensure technological systems are transparent and predictable, with adequate means for workers to influence technical processes
44
Skill variety and use
Refers to doing varied, meaningful tasks that make good use of people's skills, including task variety, skill variety, job complexity, job challenge, task identity, and task significance
45
Positive and negative effects of technology on skill variety?
**Positive effects** of technology on skill variety: - Replacement of "dull, dirty, and dangerous" work - Replacement of routine cognitive tasks - Growth of highly skilled jobs with few algorithmic components [[12]] **Negative effects** of technology on skill variety: - Increased standardization of tasks - Automation-caused decline in active use of skills with increased monitoring - Technology-enabled "micro-tasks" that lack meaning and interest
46
Job feedback
Promotes "knowledge of results" which enhances motivation and enables learning and effective performance
47
What is the effect of technology on job feedback and related work characteristics?
**Positive effects** of technology on feedback: - Wearables and devices providing customized feedback - Information technology enabling information to be devolved to employees - Algorithmic management providing "objective" feedback [[13-14]] **Negative effects** of technology on feedback: - Reduced feedback impairing situation awareness - Reduced opportunities for learning due to automation - Algorithmically mediated feedback that is punitive or biased
48
Distinction between automate and informate strategies
- "Automate" focuses on replacing human effort and skill - "Informate" deliberately uses information generated by automated processes to provide feedback to workers
49
Social and relational aspects of work
Include social contact, social support, interdependence, and contact with beneficiaries
50
What is the effect of technology on social and relational aspects?
**Positive effects** of technology on social aspects: - Technology-mediated communication supporting social connections - Social media buffering against loneliness for remote workers - Technologies enhancing coordination across distributed work [[15]] **Negative effects** of technology on social aspects: - Virtual workers having difficulties establishing bonds and social content - Problems with coordination when interacting through technologies - Limited opportunity for interaction with supervisors or peers - Technology-mediated communication that impairs connections
51
Job demands
Physical, psychological, social, or organizational aspects of work requiring sustained effort or skills
52
What are the effects of technology on job demands?
**Effects of technology on cognitive demands**: - Sometimes results in more stimulating work (when low-skill components are automated) - Sometimes results in less stimulating work (when workers become "stop gaps") [[16-17]] **Effects on physical demands**: - Automation reducing heavy manual work - More computer-related work increasing musculoskeletal disorders [[17]] **Effects on workload**: - "Time-saving" electronic systems often paradoxically increasing employee workload - Variation in workload due to automation (from underload to rapid overload) [[17]] **Performance monitoring demands**: - Growth of sensors, big data, and algorithmic management enabling unprecedented tracking - Electronic performance monitoring creating surveillance demands
53
What are the key conclusions of Parker and Grote?
1. Work design is valuable for understanding technology effects 2. There is no predetermined effect of technology on work design 3. Many factors shaping technology's impact reflect "choices" about work roles 4. Need to proactively shape both work implementation and technology design 5. Both macro-level forces (policies) and micro-level forces (individual skills) matter
54
What are the proposed intervention strategies?
1. **Proactive design of work roles when implementing technology** (Strategy A) - Work design issues should be actively considered during technology implementation - Consistent with sociotechnical systems principle of joint optimization [[19]] 2. **Considering human-centered principles in technology development, design & procurement** (Strategy B) - Human, legal, and ethical aspects should be considered upfront in technology development - Sociotechnical thinking should be used in a more predictive capacity [[20]] 3. **Policy-level changes to support better work design & human-centered approaches** (Strategy C) - Higher-level policies and regulations needed to ensure safe, healthy, and meaningful work - Examples include principles for robotics, data protection, and workplace innovation initiatives [[20-21]] 4. **Education & training** (Strategy D) - Upskilling employees to help them adapt to technology change - Educating stakeholders about work design - Training employees in job crafting
55
What are the expanded research questions?
1. **Continued focus on job autonomy** given new challenges: - Examining redistribution of control and accountability - Building trust in automation as transparency decreases - Understanding effects of algorithmic decision-making [[22]] 2. **Renewed attention to other work characteristics**: - How skills will be preserved as automation extends to new domains - Variation in workload in routine versus non-routine situations - Effects of configurations or profiles of work characteristics [[22-23]] 3. **More attention to antecedents of work design**: - Design mindsets and behaviors of different stakeholders - Factors affecting stakeholders' work design mindsets - Role of individual job crafting within technology contexts [[23]] 4. **Bring back sociotechnical thinking**: - Designing technologies to accommodate human needs - Developing appropriate design criteria - Learning from sectors where sociotechnical approaches are more advanced
56
What are the reoriented research approaches?
1. **More interdisciplinary research**: - Working with researchers from other disciplines - Integrating knowledge from human factors, design thinking, information systems, and labor economics [[25]] 2. **Detailed studies of work in context**: - Getting "closer to the work" through observations and analyses - Understanding complex interactions between work design, technology, and other factors [[25]] 3. **More intervention research**: - Working alongside managers and designers to redesign work - In-depth case studies with longitudinal tracking [[25-26]] 4. **Increase incentives for different types of research**: - Funding schemes requiring collaboration between technical and social sciences - Positive evaluation of publishing in multidisciplinary journals
57
What is the agenda for action?
1. **Strengthen design focus in work and organizational psychology education**: - Reverse trend favoring organizational psychology over work psychology - Train psychologists to help organizations make better work design choices [[26-27]] 2. **Reach out to policy-makers**: - Help shape the wider agenda around technology and work - Push for greater investment in workplace innovation
58
What is the main conclusion of Parker and Grote?
The authors conclude that while new technologies can both improve and worsen work designs, technocentric perspectives still dominate despite many technological failures. The relationship between humans and AI is fundamentally different from past human-technology relationships, as both now have agency. This requires a revitalized focus on the joint consideration of technology, people, and organizations to create work that is both healthy and productive
59
Why does Yam et al look at the rise of robots?
The introduction of this research report establishes the growing concern about robots in the workplace. While robots can enhance productivity and create new jobs, there's significant public anxiety about robots replacing human workers. The authors note that despite widespread discussion about automation's impact on employment, relatively little empirical research has directly assessed how employees react to robots in the workplace. The authors highlight three key contributions of their work: 1. Addressing the call for research on employee-robot interactions 2. Examining downstream behavioral costs (burnout and workplace incivility) of exposure to robots 3. Testing a psychological intervention (self-affirmation) to mitigate negative effects
60
How is robot exposure defined?
The authors define exposure to robots as "being exposed, either physically or psychologically, to robots that take physical forms regardless of how autonomous the robots are" [[2]]. This definition: - Focuses on embodied robots (with physical forms) - Includes both physical and psychological exposure - Does not distinguish between AI-equipped and pre-programmed robots The authors chose this definition because: - Reactions to embodied technological agents differ from reactions to disembodied agents - This focus excludes algorithms and computerized programs - Laypeople don't commonly encounter highly autonomous robots - People's perceptions of robots are driven more by appearance than actual autonomy
61
Cognitive appraisal theory of stress
The theoretical foundation for the hypotheses is cognitive appraisal theory of stress (Lazarus & Folkman, 1984). Key components of this theory as applied to robots include: - Job insecurity as a subjective appraisal process - Individuals appraise stimuli as either goal-congruent or goal-incongruent - Goal-incongruent appraisals trigger negative reactions like stress - Assessment of coping potential affects specific reactions
62
Hypotheses of Yam et al?
Hypothesis 1: Exposure to robots is positively associated with a sense of job insecurity. (robots are more efficient, awareness of robots capabilites which are advancing rapidly) Hypothesis 2: The relationship between exposure to robots and (a) burnout and (b) workplace incivility is mediated by a heightened sense of job insecurity (job insecure employees must divert energy to protect existing resources, which creates a loss spiral of resources leading to burnout, can be deviant to regain control) Hypothesis 3: Self-affirmation moderates the effect of exposure to robots on a heightened sense of job insecurity such that the relationship is weakened when people practice self-affirmation (self-affirmation buffers stress by making the self more resilient to threats, affirm self-worth and ability to confront workplace changes)
63
Which studies were used?
- Pilot studies : Showed robots are uniquely associated with job insecurity compared to other threats - Study 1: Archival analysis of robot density and job insecurity across U.S. metropolitan areas (compare variations in robot density with variations in job-related search terms) - Study 2: Preregistered experiment exposing people to the idea of robots at work - Study 3: Field study of engineers who interact with robots daily (experience sampling before, middle and after work) - Study 4: Online experiment testing self-affirmation as an intervention (2*2 with some having robot exposure vs control and self-affirmation vs control, wrote about top-ranked characteristics and values)
64
Results of Yam et al?
1. Job insecurity was positively associated with robot density across all years, but density but associated with actual unemployment rates so they did not cause job losses 2. those in experimental condition had higher job insecurity compared to mere exposure, more likely to select online career services 3. daily robot adoption was positively associated with daily job insecurity, which was linked to burnout and incivility, significant indirect effects of daily burnout through job insecurity and incivility through insecurity 4. those in robot exposure condition had higher job insecurity than controls, significant interaction between robot exposure and self-affirmation, effect of exposure on job insecurity was stronger for participants without self-affirmation than without
65
Theoretical contributions of Yam et al?
- The studies demonstrate that exposure to robots increases job insecurity across various contexts and cultures - This job insecurity leads to burnout and workplace incivility - While robots may offer benefits (reduced personnel costs), they also have psychological costs - The findings apply to both low-skilled and intellectually demanding jobs - Interestingly, robot prevalence was not associated with actual unemployment, suggesting job insecurity may be more subjective than objective
66
Practical implications of Yam et al
- Organizations introducing robots should be mindful of potential negative effects on employees - Self-affirmation interventions can significantly mitigate these negative effects - Managers should encourage self-affirmation when implementing robotic technologies
67
Limitations of Yam et al
- Need for research on whether robots affect job performance (preliminary findings suggest positive effects) - Did not distinguish between robots with different levels of "humanness" - Focused only on embodied robots, not algorithms - Did not test whether self-affirmation moderates the mediation effects (job insecurity → burnout/incivility)
68
Conclusion of Yam et al
The authors conclude that uncertainty about robots' impact on future society is itself unnerving. While technology has changed work, human reactions remain consistent: "We still fear that a workplace with robots is a workplace without us" [[11]]. This research provides robust evidence across multiple studies, cultures, and methodologies that exposure to robots increases job insecurity, which in turn leads to maladaptive workplace behaviors. However, self-affirmation interventions can help mitigate these negative effects.