AFFECTIVE AND CONTINUANCE COMMITMENT IN CALL CENTRES: VALIDATION OF MEYER AND ALLEN QUESTIONNAIRE ABSTRACT

Similar documents
GREEN PRODUCTS PURCHASE BEHAVIOUR- AN IMPACT STUDY

Research Note. Community/Agency Trust: A Measurement Instrument

Validation of a new LINOR Affective Commitment Scale

ASSESSMENT APPROACH TO

CHAPTER 5 DATA ANALYSIS AND RESULTS

Chapter 5. Data Analysis, Results and Discussion

Studying the Employee Satisfaction Using Factor Analysis

Running head: THE MEANING AND DOING OF MINDFULNESS

Statistics & Analysis. Confirmatory Factor Analysis and Structural Equation Modeling of Noncognitive Assessments using PROC CALIS

Perception of Organizational Politics and Influence of Job Attitude on Organizational Commitment. Abstract

Assessing the Fitness of a Measurement Model Using Confirmatory Factor Analysis (CFA)

Application of Leadership and Personal Competencies for Augmented Managerial Performance: Empirical Evidence from Indian Manufacturing Units

CHAPTER 4 METHOD. procedures. It also describes the development of the questionnaires, the selection of the

Last update to this document: 11/11/14

Last update to this document:

The Relationship between Emotional Intelligence, Organisational Commitment and Employees' Performance in Iran

Customers Retail Bank Selection Criteria in South Africa

Factors Affecting Career Decision in Study And Work Life in Bangladesh

Chinese Validation of the Team Climate Inventory: A Measure of Team Climate for Innovation in R&D Teams

Empirical Analysis of the Factors Affecting Online Buying Behaviour

Principal Component Analysis of Influence of Organizational Justice on Employee Engagement

ONLINE APPENDIX. This appendix contains additional results, which are not reported in detail in the paper due to space constraints.

MODELLING THE 2009 WORK ENVIRONMENT SURVEY RESULTS THE TECHNICAL REPORT APRIL 2010

The Effect of Organizational Communication and Job Satisfaction on Organizational Commitment in Small Businesses

Individual Role Engagement Alignment Profile (ireap) Psychometric Review of the Instrument 2012

A MULTIVARIATE ANALYSIS TECHNIQUE: STRUCTURAL EQUATION MODELING

Training transfer evaluation in the Public Administration of Catalonia: the MEVIT factors model

Factors Associated with Job Involvement: A Study of Commercial Bank People in Bangladesh

Laleh Karamizadeh Corresponding Author: M.S.C., Management Department, Islamic Azad University, Branch of Dehaghan, Iran.

USING EXPLORATORY FACTOR ANALYSIS IN INFORMATION SYSTEM (IS) RESEARCH

An Empirical Investigation of Consumer Experience on Online Purchase Intention Bing-sheng YAN 1,a, Li-hua LI 2,b and Ke XU 3,c,*

The Effect of Trust and Information Sharing on Relationship Commitment in Supply Chain Management

EFFECTIVENESS OF PERFORMANCE APPRAISAL: ITS MEASUREMENT IN PAKISTANI ORGANIZATIONS

THE MEDIATING ROLE OF WORK INVOLVEMENT IN A JOB CHARACTERISTICS AND JOB PERFORMANCE RELATIONSHIP

Chapter 5 RESULTS AND DISCUSSION

ATTITUDES AND YOUNG CONSUMERS ORGANIC FOOD PURCHASING INTENTIONS

Influence of Distributive Justice Perceptions on Commitment of employees in Health Sector Non- Governmental Organizations in Kenya

Interrelationship of Experiential Marketing on Shopping Involvement: An Empirical Investigation in Organized Retailing

Transformational and Transactional Leadership in the Indian Context

Chapter -7 STRUCTURAL EQUATION MODELLING

Service Quality in Restaurants: a case study in a Portuguese resort

An Examination of Perceived Value Dimensions of Hotel Visitors: Using Exploratory and Confirmatory Factor Analyses

Impact of work variables and safety appraisal on well-being at work

Chapter 3. Basic Statistical Concepts: II. Data Preparation and Screening. Overview. Data preparation. Data screening. Score reliability and validity

THE LOOP MODEL: MODELING CONSUMER INTERACTIVITY IN CAMPAIGNS COUPLING SIMULTANEOUS MEDIA

Understanding the Dimensionality and Reliability of the Cognitive Scales of the UK Clinical Aptitude test (UKCAT): Summary Version of the Report

LINKING ORGANIZATIONAL COMMITMENT AND ENVIRONMENTAL PERFORMANCE IN MEXICO ABSTRACT INTRODUCTION

State of the Unit: a Description of Instruments and Scales Part I: Testing the Model

End-User Acceptance Of E-Government Services In an Indonesia Regency

The Effect of Communication Satisfaction on Organizational Commitment

Construct validation of emotional labor scale for a sample of Pakistani corporate employees

AN EMPIRICAL STUDY ON ORGANIZATIONAL CITIZENSHIP BEHAVIOR IN PRIVATE SECTOR BANKS IN TAMILNADU

Competence Model of the Teacher in Colleges and Universities ---Based on Research in Hebei Province

Tran Trung Tuan. National Economics University (NEU), Ha Noi, Viet Nam

CONSIDERING UNVIERSITY GOVERNANCE: A PRELIMINARY INVESTIGATION OF EMPLOYEE ENGAGEMENT IN HIGHER EDUCATIONNAL INSTITUTIONS IN MALAYSIA

CHAPTER 5 RESULTS AND ANALYSIS

2012 International Symposium on Safety Science and Technology Research on the relationship between safety leadership and safety climate in coalmines

ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS An Empirical study on talent retention strategy by BPO s in India

The perceived influence of the elements of internal marketing on the brand image of staffing agencies in South Africa.

International Journal of Heritage, Tourism and Hospitality Vol. (11), No. (1/2), March, 2017 By: Faculty of Tourism and Hotels, Fayoum University

Cognitive Factors and its Impact on Job Satisfaction- A Study on Selected Information Technology Enabled Service Companies in Bengaluru

A SCALE TO MEASURE CONSUMERS ENGAGEMENT WITH SOCIAL MEDIA BRAND-RELATED CONTENT

NBR E-JOURNAL, Volume 1, Issue 1 (Jan-Dec 2015) ISSN EVALUATION OF TRAINING AND DEVELOPMENT FOR ORGANIZATIONAL COMPETITIVENESS

Kasetsart Journal of Social Sciences

International Journal of Social Sciences and Entrepreneurship Vol.1, Issue 10, 2014

Causal Factors of CSR Influencing to Organizational Citizenship Behavior and Effectiveness of Listed Companies in the Stock Exchange of Thailand

Management Science Letters

Factors affecting organizational commitment of employee s of Lao development bank

Gaining Access to Customers Resources Through Relationship Bonds. Roger Baxter, AUT University, Abstract

MdAIR Spring Institute. April 28, 2006

CHAPTER 4 DATA ANALYSIS, PRESENTATION AND INTERPRETATION

Investigating Television News Service Quality Dimensions: A Factor Analysis Approach

A structural model for transformational leadership style based on job alienation in District 2 of Islamic Azad University

Management Science Letters

A Study on Brand Loyalty in Retail Segment with special focus on Pantaloons

FEMALE FACULTY ORGANIZATION SUPPORT AND COMMITMENT IN SAUDI ARABIA: THE FOCUS OF HAIL UNIVERSITY

Online Early Preprint of Accepted Manuscript

CHAPTER 5 ANALYSIS OF WORK LIFE BALANCE WITH RESPECT TO OTHER VARIABLES

PRESENTING SEM MODELS: JOURNAL AND CONFERENCE CONSIDERATIONS

Employability Skills: A Study on Perception on Engineering Employees in Chennai District

Measurement Model of Evaluation Utilization: External Evaluation

THE IMPACT OF DEMOGRAPHY ON PSYCHOLOGICAL CAPITAL: AN EMPIRICAL STUDY IN THE RETAIL SECTOR

The Effects of Perceived Value of Mobile Phones on User Satisfaction, Brand Trust, and Loyalty

Informed Decision-Making in Exploratory Factor Analysis

IMPACT OF PROJECT MANAGEMENT ON PROJECT PERFORMANCE: A STRUCTURAL EQUATION MODELLING APPROACH

Humanities and Social Sciences

Staff Paper 7/2006 QUALITY HR-TQM MODEL IN SERVICE CONTEXT. Noor Azman Ali. Mohamed Zairi. Fauziah Mahat

INFLUENCE OF JOB SATISFACTION AND ORGANISATIONAL COMMITMENT ON ABSENTEEISM IN SCHOOLS

MOVING TOWARD IMPROVED ACQUISITION OUTCOMES:

The influence of the organizational culture on the enterprise performance indicators of its production activity. Natalia Victorovna Kuznetsova

SCALE DEVELOPMENT AND VALIDATION FOR MEASURING CORPORATE BRAND ASSOCIATIONS

AN ANALYSIS OF CUSTOMERS SATISFACTION AND FACTORS INFLUENCING THE INTERNET BANKING

A STUDY OF JOB SATISFACTION OF TEACHERS IN GOVT. COLLEGES OF GURUGRAM

PRINCIPAL COMPONENT ANALYSIS IN TOURISM MARKETING

Supplier Perceptions of Dependencies in Supplier Manufacturer Relationship

EFFECTIVENESS OF PERFORMANCE APPRAISAL: ITS OUTCOMES AND DETRIMENTS IN PAKISTANI ORGANIZATIONS

Psychological Capital: A Positive Approach to Enhance Commitment to Change among University Students

CHAPTER - III RESEARCH METHODOLOGY

The Psychometric Features of Lee and Allen s Organizational Citizenship Behavior Scale (2002)

CHAPTER 5 DATA ANALYSIS

Transcription:

Psychology and Psychiatry AFFECTIVE AND CONTINUANCE COMMITMENT IN CALL CENTRES: VALIDATION OF MEYER AND ALLEN QUESTIONNAIRE Assis. Prof. Dr. Leonor Pais 1 Dr. Cristina Souza de Castro 1 Assis. Prof. Dr. Lisete dos Santos Mendes Mónico 1 1 Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal ABSTRACT The objective of this work is to contribute to validation of the Meyer and Allen Commitment Questionnaire for the call centre population in Portugal. According to the authors, organizational commitment is a psychological state, a mindset, a dependent variable that explains the link between individual and organization. Eighteen hundred employees (32.1% male; 56.9% female; M = 31.12 years, DP = 8.91) answered the Affective and Continuance scales of the tool. We carried out exploratory factor analysis with 30% of team members, randomly selected from the sample. The bi-dimensional solution was responsible for 51.1% of the total variability and reproduced the original structure proposed by the authors (item 13 was excluded due to loading in both factors). Confirmatory factor analysis was performed with the remaining 70% of the sample. According to the reference values, goodness of fit was evaluated as good /41 = 7.26; SRMR =.066, NFI =.922, CFI =.932, TLI =.909 and acceptable according to RMSEA =.071 (90% CI,.063 to.078), p <.001, sustaining the Affective (α =.807) and Continuance (α =.717) dimensions. Keywords: Call Centres, Organizations, Organizational Commitment, Affective Commitment, Continuance Commitment. INTRODUCTION Organizational commitment is a concept extensively explored in the literature for decades, and defined as a psychological state, a mindset, a dependent variable that explains the link between individual and organization [1]. In the 90s, Meyer and Allen made the first attempt to develop an integrative model for the concept, with three components, incorporating attitudinal and behavioural perspectives. Affective commitment, Normative commitment and Continuance commitment are three dimensions which indicate the desire to be part of an organization, the obligation to remain in the organisation and the need to stay due to the perceived benefits [2]. Commitment is a central concept to explain different attitudes and behaviours in the workplace, and a key to understanding how to attract and retain talents in an organization [1]. In other words, employees commitment to the company where they work influences the intention to leave, and consequently turnover rates. Call centres are new workplaces associated with particularly high turnover rates, which makes commitment especially critical for these organizations. And because service delivery occurs through human interaction, the relationships established between Customer

SGEM 2014 International Multidisciplinary Scientific Conferences on Social Sciences and Arts Service Representatives (CSRs) and customers are also influenced by employees commitment to guaranteeing high quality service [3]. Research aiming to understand the influence of organizational commitment on different attitudes, behaviours and even performance indicators in customer service operations is frequent, with contributions from several authors. Peccei and Rosenthal [4] made the first attempt to conceptualize and operationalize organizational commitment to customer services as part of a broader research to identify determinants of important aspects of service such as quality and individual performance. Authors such as Houlihan [5] and Hutchinson, Purcell and Kinnie [6] also explored the application of high commitment management practices in call centres to foster discretionary efforts and involvement among employees. The objective of the present work is to contribute with validation of the Meyer and Allen Commitment Questionnaire [2] for a call centre population in Portugal, to allow effective use of two scales of this tool in this workplace. The proposed model [2] suggests the construct is composed of three dimensions: Affective commitment, Continuance commitment and Normative commitment. The first refers to employees emotional attachment, identification and involvement with the organization. Continuance commitment is related to the need to remain in the organization due to the perceived costs associated with leaving. Normative commitment translates the obligation to stay in the organization. These dimensions are independent of each other, although the employee could experience each one of them according to antecedents of his personal and professional history. That is to say, an employee with strong Affective commitment will work enthusiastically, making any effort for the success of the organization. On the other hand, a strong Continuance commitment means the employee will work just to achieve their personal goals, because there are costs associated with leaving or no other option of work. The last dimension is related to a moral responsibility to the organization, implying that the work is correctly done because there is a moral obligation to do so. Nascimento, Lopes and Salgueiro [7] translated and tested the validity of the Meyer and Allen Commitment Questionnaire with a Portuguese population. The theoretical model initially proposed was not validated, but it was possible to confirm and validate three independent scales for Affective, Continuance and Normative Commitment. They also explain that different studies have shown relationships between these dimensions [8]. For example, a positive relationship between Affective and Normative commitment, in some cases so strong that the independency of these two scales has already been questioned. A relationship between Affective and Continuance commitment is apparently less frequent, although the authors also referred to correlations found in more than one study. Continuance and Normative commitment are weakly correlated. As there is some evidence that Affective and Normative commitment are strongly correlated, and as in call centres emotional work and precarious labour are strong features intensively discussed by several authors [9], we opted to focus only on the scales that undoubtedly could specifically measure identification and involvement with the work and the instrumental relationship with the organization. That is the reason for applying and testing only the Affective and Continuance scales. Therefore, we considered it appropriate to perform exploratory factor analysis before the confirmatory

Psychology and Psychiatry one, to analyse how the items would load in the two emergent factors. The bidimensional solution achieved was confirmed in Confirmatory Factor Analysis. MATERIALS AND METHODS Sample The sample is composed of 1814 employees (CSRs) working in a call centre company in Portugal. 582 are male (32.1%, M age =31.7 years, SD=7.60) and 1033 female (56.9%, M age =31.12 years, SD=8.91), with 199 (11.0%) missing values considering gender. These CSRs were distributed in 184 teams, belonging to different call centre operations. In a large call centre provider, each operation represents a type of service outsourced from another company (a client organization ), and tailored to serve this company s customers according to its products, process and procedures. Measure The Meyer and Allen Commitment Questionnaire [2] is originally composed of three scales, to measure the Affective, Normative and Continuance dimensions of the construct. We used the scales validated for the Portuguese population by Nascimento, Lopes and Salgueiro [7], although applying only the Affective and Continuance ones. As already mentioned, this decision was motivated by certain features of this workplace, such as the strongly emotional connotation of this type of activity being also frequently associated with precarious labour [9]. The Affective scale has 6 items (three of them reversed) and the Continuance, 7 items. The questions were all targeted to the Operation to which the employee belongs. Questions were presented to the respondents with a Likert scale where 1 = totally disagree and 7 = totally agree. The inverted items are 1, 3 and 6. Procedures and data analysis The Commitment Questionnaire was made available to all CSRs through online survey software, Questionpro, which allowed rapid and efficient distribution. The responses were anonymous. Exploratory factor analysis and descriptive statistics were performed using the Statistical Package for Social Sciences (SPSS, version 21.0; SPSS Inc., Chicago, IL). We eliminated 23 outliers. Confirmatory factorial analysis was executed with AMOS. Reliability was calculated by Cronbach's alpha [10]. The normality of the variables was assessed by the coefficients of skewness (Sk) and kurtosis (Ku) uni and multivariate, showing that no variable presented values violating normal distribution, Sk <3 and Ku <10. RESULTS Exploratory factor analysis We carried out exploratory factor analysis (EFA) with 30% of team members (n = 537), randomly selected from the sample, with factors extracted using the Principal Component method followed by Varimax rotation with Kaiser normalization. Factors

SGEM 2014 International Multidisciplinary Scientific Conferences on Social Sciences and Arts with an eigenvalue above 1 were retained, according to the Scree Plot, serving the percentage of extracted variance. EFA validity was evaluated through the Kaiser- Meyer-Olkin (KMO) measure and also applying Bartlett s test of sphericity. Results indicate a good factorability of the correlation matrix: the KMO was higher than.70 (KMO =.819) and the Bartlett s test of sphericity showed a X 2 (78) = 2300.6, p <.001. The bi-dimensional solution obtained from PCA was responsible for 51.14% of the total variability, and reproduced the original structure proposed by Meyer and Allen [2]. Factor 1 explained 27.7%, and factor 2, 23.4% of the total variance. Item 13 (since I have already put so much of myself into this operation I do not consider working elsewhere) presented factorial loadings higher than.30 in both factors, which does not contribute to their orthogonality. For this reason, the item was excluded. Table 1 presents the factorial loadings (s), communalities (h 2 ) and descriptive statistics of each of the 12 retained items. All factorial loadings are higher than.50, loading only in one dimension. Communalities are higher than.29. Items grouped in the first dimension correspond to Affective commitment; items loading in the second dimension correspond to Continuance commitment. The Cronbach s Alpha of the instrument was α = 0.783 for the global scale; α =.814 for Affective dimension; and α =.765 for Continuance dimension, which shows acceptable reliability [10]. Table 1: Principal Component Analysis of Affective and Continuance dimensions of the Commitment Questionnaire: Mean (M), standard deviations (SD), factorial loadings (s) and communalities (h2) of the rotated component matrix Items 2-This operation has a great deal of personal meaning for me. Affective (s) Dimensions Continuanc e(s) h 2 M SD.797.052.637 4.49 1.74 1(r)- I do not feel emotionally attached to this operation..784 -.032.616 4.98 1.90 6(r)- I do not feel a strong sense of belonging to my operation..724 -.069.529 5.78 1.54 5- I would be very happy to spend the rest of my career with this operation..706.155.523 3.54 1.94 4- I really feel as if this operation s problems are my own..668.088.454 4.19 1.79 3(r)- I do not feel like part of the family at my operation..610 -.061.376 5.50 1.68 8- It would be very hard for me to leave my operation right now even if I wanted to..106.777.615 4.44 1.86 12- Too much in my life would be disrupted if I decided I wanted to leave my operation now..083.767.596 4.93 1.88 11- One of the few serious consequences of leaving this operation would he the scarcity of available alternatives. -.264.715.581 4.87 1.81 9- One of the major reasons I continue to work for this operation is that leaving would require considerable personal sacrifice, because another operation could not.056.709.506 4.07 1.81 cover the benefits I have here. 7- I feel that I have too few options to consider leaving this operation. -.054.542.296 3.92 1.72 10- Right now staying with my operation is a matter of necessity as much as desire..378.515.408 4.78 1.72 Eigenvalues 3.44 2.70 % of Variance 27.73 23.41 (r): reversed items

Psychology and Psychiatry Confirmatory factor analysis Confirmatory factor analysis was performed with the remaining 70% of the sample (n = 1254). Goodness of fit was analyzed by the indexes of NFI (Normed fit index; good fit>.80) [11], SRMR (Standardized Root Mean Square Residual; appropriate fit<.08) [12], TLI (Tucker-Lewis Index; appropriate fit>.90) [12], CFI (Comparative fit index; good fit>.90) [11], RMSEA (Root Mean Square Error of Approximation; good fit<.05, acceptable fit<.08) [14] [11], and X 2 (p>.05, but irrelevant if N>500) [13] [11]. Figure 1 shows the diagram of the proposed model, and in Table 2 we can see the goodness of fit indexes of this model (Model 1). Figure 1: Proposed model of Affective and Continuance dimensions of the Commitment Questionnaire. The goodness of fit indexes of the proposed model (Model 1) are shown in Table 1. Model 1was not adjusted. Observation of the results of the first analysis showed that item 11 has high covariance between its error term and the Affective latent construct, indicated by the modification indices [15] (MI = 148.4), and also high covariance with item 12 (MI = 90.39). We decided to exclude it in Model 2 (see goodness of fit indexes for Model 2 in Table 2). Despite the acceptable fit values for NFI and SRMR [12], we found that the fit of this model can be improved by correlation of the residual variability between variables 3 and 6 (MI = 204.3), and 1 and 3 (MI = 71.7), which was done in Model 3 (see Table 2). This procedure increased the fit of the model of Affective and Continuance dimensions of the Commitment Questionnaire (see goodness of fit indices for Model 3). Table 2: Goodness of fit indexes obtained in factorial validation of the Affective and Continuance dimensions of the Commitment Questionnaire Model NFI SRMR TLI CFI χ 2 /df RMSEA RMSEA 90% Confidence Interval 1.788.096.747.797 17.82*** (df=53).116.109 -.122*** 2.841.078.808.850 14.18*** (df=43).103.095 -.110***

SGEM 2014 International Multidisciplinary Scientific Conferences on Social Sciences and Arts 3.922.065.909.932 7.26*** (df=41).071.063 -.078** ** p =.009 *** p <.001 According to the reference values of Model 3, we conclude that goodness of fit was evaluated as good, sustaining the Affective and Continuance dimensions of the Commitment Questionnaire. Table 3 presents the estimates, standard errors, critical ratios, and standardized regression weights for the confirmatory structural analysis of Model 3 (see diagram of the estimated model in Figure 2). All estimated parameters are statistically significant (see critical ratios), and items have mostly high standardized regression weights, ranging from.35 to.82. The correlation between the two factors is moderate. In Table 3 we also show the descriptive statistics for items, revealing that the highest score is for item 6, and the lowest for item 5. Table 3: Estimates, Standard-errors (SE), Critical ratios (CR), and Standardized regression weights (SRW): Confirmatory structural analysis of Model 3, Means (M) and standard deviations (SD) Factors Items Estimate SE CR SRW M SD Affective Continuance *** p <.001 Commit1 1.000.612 5.08 1.83 Commit2 1.216.061 20.098 ***.815 4.57 1.67 Commit3 0.647.045 14.405 ***.430 5.45 1.72 Commit4 1.019.057 17.783 ***.648 4.09 1.76 Commit5 1.196.064 18.609 ***.693 3.50 1.93 Commit6 0.728.050 14.665 ***.504 5.67 1.62 Commit7 1.000.346 3.88 1.75 Commit8 2.307.219 10.522 ***.752 4.38 1.85 Commit9 2.014.195 10.339 ***.669 3.98 1.82 Commit10 1.473.152 9.683 ***.529 4.76 1.68 Commit12 1.807.179 10.092 ***.605 4.96 1.80 Figure 2: Estimated model of Affective and Continuance dimensions of the Commitment Questionnaire in call centres

Psychology and Psychiatry The descriptive statistics and reliability coefficients of the Affective and Continuance dimensions of the Commitment Questionnaire are shown in Table 4. The Cronbach s alpha values are classified as good or acceptable [10]. The Affective dimension of the construct was statistically higher than the Continuance one, t (1253) = 7.70, p<.001. Table 4: Descriptive statistics and reliability coefficients (Cronbach s alpha) of Affective and Continuance dimensions of the Commitment Questionnaire N Cronbach s α Minimum Maximum M SD Affective 1254.807 1.00 7.00 4.73 1.25 Continuance 1254.717 1.00 7.00 4.39 1.22 Commitment (global scale) 1254.767 1.50 7.00 4.57 0.97 DISCUSSION The statistical procedures applied resulted in a contribution to validation of the Affective and Continuance scales of the Meyer and Allen Commitment Questionnaire for a population of CSRs working in a large call centre company in Portugal. Both scales will allow us to measure effectively the Affective and Continuance dimensions of the construct that represents the link between an individual and the organization, a psychological state which influences behaviours, attitudes and even performance. Affective commitment refers to employees emotional attachment, identification and involvement with the organization; Continuance commitment is related to the need to remain in the organization due to the costs associated with leaving [2]. A moderate correlation between the two factors was found, but a similar result had also been reported in previous studies, as mentioned in Nascimento, Lopes and Salgueiro [8], without compromising the independence of the factors. Considering the goodness of fit of the model, this was obtained in Model 2, and enhanced in Model 3. Overall, we consider the fit was good, but it was only obtained after excluding one item and for all indices due to correlation of the residual variability of a set of items as indicated in Figure 2. This means there is a percentage of variability that is not explained by the model in our sample, and this is exactly what should be studied in future research in the same population, with its very particular features. REFERENCES [1] Cardoso, L., Castro, C.S., Gomes, D. Organizações, comprometimento e identificação: semelhanças e diferenças entre modelos e uma perspectiva de integração. In Gomes, A. D. Psicologia das organizações, do trabalho e dos recursos humanos. Coimbra: Imprensa da Universidade de Coimbra, pp 353-375, 2011. [2] Meyer, J. P., & Allen, N. J. Commitment in the workplace: Theory, research, and application. Thousand Oaks, CA: Sage Publications, 1997. [3] Malhotra, N., Budhwar, P., & Prowse, P. Linking rewards to commitment: an empirical investigation of four UK call centres. The International Journal of Human Resource Management, vol 18/12, pp. 2095-2128, 2007.

SGEM 2014 International Multidisciplinary Scientific Conferences on Social Sciences and Arts [4] Peccei, R., & Rosenthal, P. The antecedents of employee commitment to customer service: evidence from a UK. International Journal of Human Resource Management, vol 8/issue 1, pp 66-86, 1997. [5] Houlihan, M. Tensions and variations in call centre management strategies. In Human Resource Management Journal, vol 12/issue 4, pp 67-85, 2002. [6] Hutchinson, S., Purcell, J., & Kinnie, N. Evolving high commitment management and the experience of the RAC call centre. In Human Resource Management Journal, vol 10/issue 1, pp 63-78, 2000. [7] Nascimento, J. L., Lopes, A., & Salgueiro, M. D. F. Estudo sobre a validação do Modelo de Comportamento Organizacional de Meyer e Allen para o contexto português. Comportamento organizacional e gestão, vol 14/issue 1, pp 115-133, 2008. [8] Meyer, J. P., Stanley, D. J., Herscovich, L., & Topolnytsky, L. Affective, continuance, and normative commitment to the organization: A meta-analysis of antecedents, correlates, and consequences. Journal of Vocational Behavior, vol 61, pp 20-52, 2002. [9] Matos, P.R.M.A. Precarious Labour in Portuguese Call Centres: An Anthropological Study, Doctoral thesis Goldsmiths, University of London. [Thesis]: Goldsmiths Research Online, 2010. [10] Nunnaly, J.C. Psychometric theory. New York: McGraw-Hill. 1978 [11] Schumacker, R.E., & Lomax, R.G. A beginner s guide to structural equation modeling. Mahwah, NJ: Lawrence Erlbaum Associates, 1996. [12] Brown, T. Confirmatory factor analysis for applied research. New York: The Guilford Press, 2006. [13] Bentler, P. Quantitative methods in psychology: Comparative fit indexes in structural models. Psychological Bulletin, vol. 107,pp 238-246, 1990. [14] Kline, R.B. Principles and practice of structural equation modeling (3rd ed.). New York: The Guilford Press, 2011 [15] Bollen, K. A. Structural equations with latent variables, New York: Wiley, 1989.