Distractions, Distrust, Enemies & Selfishness: Social Liabilities at Work



Similar documents
ENTERPRISE AND INNOVATION

THE MOTIVATORS ASSESSMENT TECHNICAL MANUAL

Overview of Factor Analysis

2. Filling Data Gaps, Data validation & Descriptive Statistics

Understanding Volatility

Higher Education Academy Psychology Network miniproject scheme

Risk Management. National Occupational Standards February 2014

Workshop on Social Network Analysis [3 ECTS]

measuring and valuing social capital K

The Influence of Human Resource Management Practices on the Retention of Core Employees of Australian Organisations: An Empirical Study

PERCEPTION OF BUILDING CONSTRUCTION WORKERS TOWARDS SAFETY, HEALTH AND ENVIRONMENT

Good Practice Guidelines for Management Development & Succession in the Public Service

II. DISTRIBUTIONS distribution normal distribution. standard scores

Building a business case for developing supportive supervisors

Module 3: Correlation and Covariance

Factor Analysis Using SPSS

ABUSIVE SUPERVISION AND PROSOCIAL ORGANIZATIONAL BEHAVIOR: A STUDY OF WORKERS IN THE BANKING INDUSTRY IN NIGERIA

Using R and the psych package to find ω

Developing and Using Personal Support Systems Charles N. Seashore

How to Get More Value from Your Survey Data

Exploratory Factor Analysis: rotation. Psychology 588: Covariance structure and factor models

Running head: ONLINE VALUE AND SELF-EFFICACY SCALE

Using Personality to Predict Outbound Call Center Job Performance

Gambling in the workplace Guidelines for developing a workplace gambling policy. responsiblegambling.vic.gov.au

Stress and wellbeing in Australia survey 2013

The Staffing Climate in Nursing: Concept and Measurement

Social Media Mining. Network Measures

Collective behaviour in clustered social networks

Dr Christine Brown University of Melbourne

Psychology 205: Research Methods in Psychology

Descriptive Statistics

Reliability and validity, the topics of this and the next chapter, are twins and

High School Psychology and its Impact on University Psychology Performance: Some Early Data

Component Ordering in Independent Component Analysis Based on Data Power

Inside Social Network Analysis

Multilevel Models for Social Network Analysis

REHABILITATION CASE MANAGER NETWORK FORUMS NOVEMBER COMCARE.GOV.AU

A Brief Introduction to SPSS Factor Analysis

Reliability Analysis

MBAs Strong in Knowledge of Finance, Near Failures in Interpersonal Skills

Online College Students 2015: Comprehensive Data on Demands and Preferences

Descriptive Statistics

Mid and End of Placement Assessment Report Doctorate in Clinical Neuropsychology

How To Find Out How Different Groups Of People Are Different

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.

Claims Services Officer

Contributing the Family Home to Super

LIST OF TABLES. 4.3 The frequency distribution of employee s opinion about training functions emphasizes the development of managerial competencies

Research Methodology: Tools

Homework 11. Part 1. Name: Score: / null

Emotionally unstable? It spells trouble for work, relationships and life

This chapter will demonstrate how to perform multiple linear regression with IBM SPSS

A new selection system to recruit general practice registrars: preliminary findings from a validation study. Abstract. Objective

LEARNING THROUGH NETWORKS WITHIN EMERGENCY MANAGEMENT RESPONSE

Case-management by the GP of domestic violence

Employee Health and Well being in the NHS: A Trust Level Analysis

INTERVIEW QUESTIONS: ADVICE AND GUIDANCE

Intranet Stakeholder Management

Bill Burton Albert Einstein College of Medicine April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1

Reporting Statistics in Psychology

Data exploration with Microsoft Excel: analysing more than one variable

4. There are no dependent variables specified... Instead, the model is: VAR 1. Or, in terms of basic measurement theory, we could model it as:

THE BUSINESS CASE FOR OUTPLACEMENT

Corporate Governance in New Zealand Principles and Guidelines

2. Linearity (in relationships among the variables--factors are linear constructions of the set of variables) F 2 X 4 U 4

Cabinet (Resources) Panel 15 December 2015

ATTITUDES OF ILLINOIS AGRISCIENCE STUDENTS AND THEIR PARENTS TOWARD AGRICULTURE AND AGRICULTURAL EDUCATION PROGRAMS

Characteristics of 'best' and 'worst' clinical teachers as perceived by university nursing faculty and students

Linking Climate, Job Satisfaction and Contextual Performance to Customer Experience

Risk pricing for Australian Motor Insurance

When to use Excel. When NOT to use Excel 9/24/2014

Exploratory Data Analysis. Psychology 3256

Relevant Areas of Expertise

PROFESSIONAL SATISFACTION OF TEACHERS FROM KINDERGARTEN. PRELIMINARY STUDY

NSW Public Service Commissioner NSW Health Good Health Great Jobs Stepping Up Forum 2015

PRINCIPAL COMPONENT ANALYSIS

Who is Prize d in Cognitive and Developmental Psychology?

Evaluating a Fatigue Management Training Program For Coaches

Rethinking the Cultural Context of Schooling Decisions in Disadvantaged Neighborhoods: From Deviant Subculture to Cultural Heterogeneity

Factor Analysis of Barriers to Treatment for Problem Gambling

Texas Early Childhood Care and Education Professional Preparation. Survey Data Report

ASSESSMENT: Coaching Efficacy As Indicators Of Coach Education Program Needs

Introduction to Principal Components and FactorAnalysis

SELF AUDITING TOOL FOR HUMAN RESOURCE MANAGEMENT THE UNIVERSITY OF WESTERN AUSTRALIA

Exploring Graduates Perceptions of the Quality of Higher Education

Examining the Marketing - Sales Relationships and its Implications for Business Performance

Mental Health Professionals Attitudes Towards People Who Are Deaf

The Effects of Parent Trust on Perceived Influence and School Involvement

SOCIAL NETWORK ANALYSIS EVALUATING THE CUSTOMER S INFLUENCE FACTOR OVER BUSINESS EVENTS

Employee Engagement Survey Nova Scotia Government-wide Report

MANAGED FUTURES AND HEDGE FUNDS: A MATCH MADE IN HEAVEN

Special report: Small Business in New Zealand: Myths and realities (Part 2)

Manager briefing. Gender pay equity guide for managers GENDER P Y EQUITY

Managing staff through change

DOES IT PAY TO HAVE FAT TAILS? EXAMINING KURTOSIS AND THE CROSS-SECTION OF STOCK RETURNS

DATA ANALYSIS AND REPORT. Melissa Lehmann Work Solutions. Abstract

Simple linear regression


Jobs Online Background and Methodology

Exploratory Factor Analysis of Demographic Characteristics of Antenatal Clinic Attendees and their Association with HIV Risk

Transcription:

APS 11th IO Psychology Conference, 2 4 July Melbourne Distractions, Distrust, Enemies & Selfishness: Social Liabilities at Work Keith Macky & Rachel L Morrison (AUT University, Auckland, NZ) 1. The Context in Brief social networks in the workplace 2. Employee social capital 3. Employee Social Liability (ESL) 4. Sources of employee social liabilities 5. Measurement approach and findings to date 6. What next?

1. The Context Workplace Social Networks All employees are embedded within a social network This network comprises patterns of ties or relationships with other individuals (Newman, Hanges, Duan & Ramesh, 2008). Social networks: impose opportunities and constraints on action, channel the flow of resources between network members (actors) and therefore potentially provide resources and benefits to an individual (Bourdieu & Wacquant, 1992; Nahapiet & Ghoshal, 1998; Wasserman & Faust 1994). Relationships may be internal and external to the firm, proximal or distal, strong or weak, emergent or stable, desired or undesired, valued or not, but are nonetheless ubiquitous to being employed...

2. Social Networks & Employee Social Capital Social capital is a multilevel construct applied as an attribute of nations, economic regions, communities, organisations, groups and, more recently, individuals (Coleman, 1990; Kouvonen et al., 2006; Labianca & Brass, 2006; Portes, 1998) Employee social capital accrues from the network of social ties that assist in functioning at work and is the sum of the resources that individuals acquire from those networks (Bourdieu & Wacquant, 1992). Because of their location within and across different social networks, some people will have more social capital than others (Bordieu 1986; Sobel 2002; Glaeser, Laibson, & Sacerdote, 2002) Workplace social networks characterised by trust and reciprocity will generate more social capital on a continuum from low to high(kouvonen et al., 2006; Suzuki et al., 2010)

3. So what are Employee Social Liabilities (ESL)? Theoretical Point of Departure 1 depending on the nature of the relationships contained within them, workplace social networks can also hinder an individual s functioning and achievements at work. Workplace social networks generate social liabilities when social ties work against the interests of an individual located within that network. Theoretical Point of Departure 2 Social liabilities are more than simply the absence of, or having low, social capital. This is not a zerosum relationship. It is possible for someone to accrue both social capital and liabilities from their workplace social network(s).

The Social Network Capital and Liability Matrix Social Liability Low Social Capital High Social Liability Low Social Capital Low Social Liability High Social Capital High Social Liability High Social Capital Low Social Liability Social Capital

4. Employees acquire social liabilities from? Social networks containing: 1. Relationships characterised by distrust and suspicion 2. A lack of reciprocity and cooperation from colleagues 3. Exposure to negative relationships and behaviours at work, including interpersonal sabotage & undermining (enemies?) + ambivalent relationships (frenemies) (Labianca and Brass 2006; Duffy, Ganster, & Pagon 2002; Uchino et al. 2004) 4. High social demands and interpersonal distractions at work; e.g. from time wasters, chatterers and attention seekers.

5. Measurement approach and findings to date Study 1: Structurally analysed the prior literature and used 6 focus groups of employees to generate an initial pool of 85 items aimed at measuring the four ESL components. Study 2: Used an online Q sort method involving 32 subject matter experts who were asked to sort the items provided into categories of items with what they thought were similar in meaning. Identified clusters were trust/distrust, cooperation, emotional support, social distractions, friendships, and negative behaviours / relationships. SMEs were also asked to rate each item on a 7 point likers agree disagree scale in terms of whether it described their network (to eliminate items with too little variance). From this, 31 items were eliminated as being redundant and 11 were discarded either because less that 20% used them to describe their network or they were not consistently categorised in the Q sort. This left 43 items, including those clustered as support and friendship, for the next phase.

Study 3: Online Qualtrix panel survey of 1000 Australian employees 55% female; mean age = 46.8 SD = 12.7; median tenure 6.3 years; median years in career = 12.4; 65% employed full time With reference to your current place of work and the relationships you have with others who work there, please indicate the extent to which you agree or disagree with the statements below (1 strongly disagree, 7 strongly agree) Principal Axis Factor Analysis with oblique direct oblimin rotation 1. Distrust of Others: 3 items, coefficient alpha =.82, mean = 3.44, SD=1.45 People I work with cannot be trusted to do as they say; People I work with are mostly looking out for themselves; I can t be too careful in dealing with the people I work with;

Study 3 continued 2. Lack or reciprocity/low cooperation: 6items reverse scored, coefficient alpha =.90 mean = 2.53 SD=1.01 Most people I work with cooperate with each other; most of the time people I work with try to be helpful; My co workers and I assist each other in accomplishing assigned tasks; etc. 3. Negative relationships: 10 items, coefficient alpha =.95 mean = 3.31 SD=1.62 Some people I work with have insulted me; People at work have spread gossip and rumours about me; Some people I work with have undermined my efforts to be successful on the job; etc. 4. Social Distraction: 6 items, coefficient alpha =.84 mean = 3.18 SD=1.19 My friends at work often keep me from my job requirements; I am often distracted by others at work; Some of the people I work with are very needy, demanding a great deal of my attention; etc.

Study 3 continued Overall Employee Social Liability scale: 25 items Coefficient alpha =.95 High scores = high social liability Mean = 3.11; SD = 1.13; SE =.04 Median = 3.04 Skew =.31 Kurtosis =.46

Study 3 CFA

Study 3 continued Final Employee Social Liability scale: 22 items (less 3 neg. beh. items with high standardised residual covariances) Coefficient alpha =.94 High scores = high social liability Mean = 3.08; SD = 1.10; SE =.03 Median = 3.05 Skew =.30 Kurtosis =.47

Study 3 Nomological Network

6. Where to next? Address the so what question

Thank you. Questions?