Turnover has attracted substantial scholarly attention in recent decades because of its practical significance (Hausknecht & Holwerda, 2013), theoretical importance (Hom, Lee, Shaw, & Hausknecht, 2017), and implications. Turnover intentions have been posited as the wilfulness to leave or quit one's current organisation. Turnover has been classified as either voluntary or involuntary, both can be said to be planned behaviour (Ajzen, 1991). It is voluntary when planned by the employee when they feel some level of dissatisfaction or the availability of an alternative. This costs the organisation a lot as they are challenged to get a suitable replacement. While involuntary as planned by the organisation, is due to the organisation's dissatisfaction with the employees' services and must have prepared for a suitable replacement or with an alternative arrangement (Vardaman, Taylor, Allen, et al., 2015). This study focuses on voluntary turnover. The unexpected nature of this turnover affects organisations as they are usually caught off guard (Menezes, Lozado, Menezes, et al., 2018).
A plethora of studies have highlighted possible reasons why employees embark on voluntary turnover such as availability of numerous job options, pay satisfaction, lack of motivation, inadequate working conditions, etc (e.g., Hanushek & Rivkin, 2007, Sharma & Sharma, 2016).
Numerous researchers have tried to propose the theoretical explanation for turnover in organisations based on March and Simon (1958), Mobley's model of 1977, and Price (1977), which all point to the satisfaction and dissatisfaction evaluation of employees' current jobs. The model by Lee and Mitchell (1994) and job embeddedness by Mitchell, Holtom, Lee, et al (2001) contributed immensely to the understanding of turnover. Turnover has proven to be extremely difficult to measure as a result of the questions that arise about its authenticity. Rather, the closest means to measure turnover is the intention to the turnover method. Numerous studies have demonstrated turnover intention to be one of the most significant predictors of subsequent voluntary turnover behaviour (e.g., Griffeth, Hom, & Gaertner, 2000, Holtom, Mitchell, et al., 2008).
Why a new measure for turnover intentions?
The multitude of reasons why there is turnover intention has been over-simplified to a unidimensional scale, for example, Bluedorn's (1982) three-item scale, Hom and Griffeth's (1991) two-item scale, Vigoda's (2000) five-item scale, Mitchell, Holtom, Lee, et al. (2001) three-item scale, Bothma and Roodt's (2013) six-item scale, and Ghosh, Satyawadi, Josh and Shadman (2013) eighteen-item scale. The absence of dimensionality in these researches was recently redeemed by the seminal work of Menezes et al. (2018), who impressively developed a two-dimensional structure of turnover intentions (extrinsic and intrinsic perspectives). This effort cannot be said to have broadened perspectives of turnover intention rather it has ignited more desire to search for more justification for turnover intention than just the extrinsic and intrinsic viewpoints.
With all the methodological limitations of previous measures, like poor psychometric properties (e.g., reliability and validity, too few items and sample size, limited context, etc.). Menezes et al. (2018) acknowledged the possible administration biases and sample size challenges. Building on their efforts, this study went further to explicate reasons for turnover intentions among employees. To develop a more comprehensive, validated measurement of turnover intentions the Expanded Multidimensional Turnover Intentions Scale (EMTIS) was developed to examine subjective social status (SSS), expectation, Career growth, organisational culture, and Personal orientation factors that trigger the willingness to quit.
Identifying Dimensions of Turnover Intentions
Subjective Social Status
Subjective social status (SSS) is one probable sign of turnover intention. It is defined as a person’s view of his or her place within a social structure (Jackman & Jackman, 1973). Subjective social status is based on objective socioeconomic status indicators, such as occupation and income. Singh-Manoux et al. (2003) posited that individuals can also employ factors such as respect and reputation, to determine their SSS. Diemer, Mistry, Wadsworth, López, and Reimers (2013) explained that social status is an individual’s ability to control resources and represents positions in society and and culture. Subjective Social status is positively related to turnover intention (Aydogdu & Asikgil, 2011, Faulkner & Laschinger, 2007, Feng, Su, Yang, Xia, & Su, 2017, Wang, Jia, Hou, et al., 2019). This relationship from studies connotes that those jobs with perceived high prestige, security, income, etc decrease the tendencies of the worker to quit (Danjun, Shan, Yang, Jinghua, & Yonggang, 2017). Social status might not be related to turnover intention in a job or some jobs or people within a location where options are limited, for example, in developing countries (Ali & Baloch, 2010). Other studies have opined that turnover can occur when employees wish to seek higher pay and social status (Chen et al., 2021, He et al., 2020, Lu et al, 2018). Lower subjective social status was associated with different dimensions of poorer indications of good health (diabetes, respiratory challenges, angina issues etc.). Modification for indicators of objective social status (such as employment criteria and salaries) reduced the relationships such that only the relationship between lower subjective social status and perceived poor health remained strong (MacLeod et al. 2005). The intention to quit could be triggered by the perceived lower subjective social status of the current position.
Organisational culture Factors
Organisational culture is perceived as a company asset that can be used to increase business performance and influence work attitudes (Tharp, 2009). Organisational culture is a set of values, beliefs, and attitudes among members of the organisation (Hakim, 2015). The relationship between organisational culture and turnover intentions has been reported to have a mixed report of positive and negative relationships (Dwivedi, Kaushik & Luxmi, 2014, Enwereuzor & Ugwu, 2021, Jacobs & Roodt, 2008, Kee, 2010). It is common knowledge in the research of turnover intention that it ranges between thoughts of leaving and the action of leaving, and is considered the most important variable preceding actual turnover (Griffeth, Hom, & Gaertner, 2000). Turnover intention is affected by organisational culture factors such as job stress, organisational culture, and leadership system. Job stress has to do with the psychological and physiological consequences of people's emotional response to stimuli from work exhaustion and anxiety from one's job (Firth et al., 2004, Parker & Decotiis, 1983). Sawyerr, Srinivas, and Wang (2009) and Shih-Tse Wang (2014) found that a high level of work-related stress and emotional drain not only reduces job satisfaction but also induces a turnover reaction. Kim and Han (2007) identified four dimensions of organisational culture: relation, innovation, task, and hierarchy. Relation-oriented organisational culture is considered to focus on human relationships such as trust, participation teamwork, loyalty, and work morale. While the innovation-oriented organisational culture show-cased organisational change and inventiveness aimed at customer satisfaction, recognition of creativity, and entrepreneurship. Task-oriented organisational culture stresses productivity in achieving organisational performance and carrying out tasks and values external orientation and stability. Finally, hierarchy-oriented organisational culture highlights stability, ensuring respect for order or processes of doing things among members of the organisation. Organisations vary in the types of services they render, but one thing common among them is that they operate under a leader or leadership style. These styles can help the employees navigate the complexities with some ease while others make it toxic and inject negative feelings that affect the level of loyalty, productivity, motivation, health, and happiness of employees (Bakkal, Serener & Myrvang, 2019, Goldman, 2011, Ugwu, Onyishi, Anozie & Ugwu, 2021). Previous studies found that an excessively stressful environment may cause negative behaviours, leading to a focus on how system dynamics and organisational culture play a role in exhibiting toxic behaviours (Abdollahzadeh et al., 2017). Doty and Fenlason (2013) found that toxic behaviour in healthcare institutions was exhibited by narcissist leadership. Taştan (2017) posited that there are different types of toxic conditions: toxic workplace, abusive management, and mobbing at work. The feeling of toxicity in one's workplace and the inability to cope or adjust to them could make one begin to plan to quit or search for a supposed better alternative.
Personal orientation Factors
Personal orientation factors such as health problems, family-related issues (e.g., distance from family, marriage, etc), age, child-rearing considerations, and well-being contribute to turnover intentions. However, very little amount of empirical research work is available on personal orientation-related factors (Ali Shah, Fakhr, Ahmad & Zaman, 2010, Muchinsky & Tuttle 1979).
In an elaborate study by Babajide (2010), she found that Personal orientation factors (e.g., work-family life, job satisfaction, general health, and organisational commitment have a significant influence on workers' turnover intention. The personal connection people have with their occupations has gained significant research that indicated a critical emotional connection employees’ have with their profession (e.g., Day, 2004, Elliott & Crosswell, 2001, Fried, 1995, Nias, 1996). It has been found that employees do also have a significant commitment to external factors (such as organisations), they also create significant links to personal passions, which have clear connections with work values and beliefs (e.g., Chou & Chen, 2016, Crosswell & Elliott, 2004, Liou & Tsai, 2016). Strong affection towards a job is often what keeps and motivates employees in what many of them perceive as a complex roles (Crosswell & Elliott, 2004). Passion, social support, and self-centred leadership were found to indirectly relate to turnover intention through the full mediation of career commitment (Lin, 2017).
Expectations
Drawing from psychological contract breach theory, expectations are based on the norm of reciprocity between employees and employers. The concept of the psychological contract as promoted by Rousseau (1995) states that a psychological contract is an agreement, formal or informal, overt or implied, between two or more agents. This concept is described as relational, transactional, or hybrid. The direct and clear record of duties, deliverables, compensation, and duration agreed upon by all parties is considered a transactional contract. While the indirect, informal, and vague agreements, suggesting that mutual emotional and physical investments exist are called a relational contracts. The hybrid contract is that which shows elements of both relational and transactional contracts. A violation of the expectations of the implied or non-explicit agreements would be considered a breach. This violation is considered a good ground for turnover (Bravo, Won & Chiu, 2019). Workers and their employers have expectations of reciprocity, which is the belief that the organisation will provide rewards that match the effort of the workers, though one of the challenges is covering workers' expectations of reciprocity and recognising unmet expectations (Kanu, Ugwu, Ogba, Ujoatuonu, Ezeh, Eze, Okoro, Agudiegwu, & Ugwu, 2022).). While expectations of reciprocity are prevalent in the psychological contract literature (Moquin, Riemenschneider & Wakefield 2019). Arasli and Arici (2019) noted that the absence of a meritocratic system of promotion in the workplace breeds unjust and unfair practices which increases the tendency of turnover. Adopting favouritism when workers have been informed of a merit-based system constitutes a psychological contract violation (Neckebrouck, Schulze, & Zellweger, 2018). Also, unclear roles have been found to significantly promote turnover intentions among workers for example nurses who are uncertain about expectations and requirements associated with their roles (Boudrias, Trépanier, Foucreault, Peterson & Fernet, 2020). Yang, Chen, Roy, and Mattila (2020) posited that in the event of a violation of expectation, as a means to cope, some employees rather quit than adjust to the organisation. This they suggested as the acquisition of new resources in another organisation than conserving existing resources (meaning adjusting in their current organisation). This factor expressly addresses the paucity of research and method of measuring employees' expectations of professional turnover.
Career Growth
Career growth has been said to be the extent to which an individual's perception that his/her organisation provides an enabling environment where his or her career goals can be attained (Weng & McElroy, 2012, Weng et al., 2010). Previous studies have found that organisations enable their employees to achieve long-term career growth, encourage higher organisational commitment (Chen et al., 2016, Weng & McElroy, 2012, Weng et al., 2010), and engage in extra-role behaviour (e.g., Albrecht, 2006, Griek, Clauson & Eby, 2018). Tsui, Pearce, Porter, and Tripoli (1997) noted that organisations that create opportunities for career advancement have shown to create a 'mutual-investment' relationship with their employees, which has in turn been found to be connected to outcomes of low turnover (e.g., Chen et al., 2016).
Initial item generation and reduction
To establish reference point dimensions of Expanded Multidimensional turnover intentions, the researchers generated an initial item pool of 61 items from reviews of academic literature and existing constructs. Items that were too vague and not related to the Expanded Multidimensional turnover intention context were removed from the pool. As a result, 57 items were retained as a pilot set. These items were rephrased to reflect the characteristics of the Expanded Multidimensional turnover intention context.
six focus groups composed of five participants (in each) recruited from different work sectors (telecommunication, banking/finance, health, factory workers, academics, and administration) were conducted on separate days, in person and virtual to fit into some of the participants' schedules, to examine the readability of items, remove redundant and vague items in the initial set, and create new items. Participants were asked to recall their latest Expanded Multidimensional turnover intentions, indicate their level of agreement on the 57 items, and comment on the readability of the items. To ensure that the authors' conceptualisations of Expanded Multidimensional turnover intentions were consistent with those of the workers, participants were also invited to give some details on their reasons for Expanded Multidimensional turnover intentions.
The findings of the focus groups advocated that all the items were easily understood. Twelve items were rephrased to better reflect patterns of engagement in Expanded Multidimensional turnover intentions. The participants' answers could be accommodated within the five existing dimensions, and no new dimension emerged during the process.
An exploratory survey was conducted with twelve Expanded Multidimensional turnover intentions users to further refine the items from the focus groups. Survey respondents were recruited by distributing questionnaires in two Nigerian universities, four banks, two teaching hospitals, five factories, and four telecommunication companies. The items were reviewed by human resources management and psychology experts with doctoral qualifications to check the content validity. Fifteen experts were contacted, and ten agreed to participate in the study. Each expert was also asked to indicate their level of agreement with the 57 items and to provide comments and suggestions on the five Expanded Multidimensional turnover intention dimensions and the scale as a whole. Using Yusoff's (2019) content validation method to evaluate the items based on their relevance, clarity, and simplicity by responding to the 4-point Likert scale (1 = not relevant, 2 = somewhat relevant, 3 = quite relevant, 4 = highly relevant). Items with low content validity index of .83 were removed. This led to sixteen items being removed from the scale during this process.