Born To Innovate: Proactive Personality and Organizational Support Among Millennial it Workers

Born To Innovate:
Proactive Personality and Organizational Support Among Millennial it Workers

 

Shafira Destami Annida1

M. M. Nilam Widyarini2

 

1,2Faculty of Psychology Gunadarma University

Jl. Margonda Raya No. 100, Pondok Cina, Depok, 16424, Indonesia

E-mail: shafiradestami@gmail.com


Abstract

This study aims to examine the effects of proactive personality and perceived organizational support, partially and simultaneously, on innovative work behavior among millennial employees in the information technology sector. Data were collected using a quantitative method. The questionnaire comprised several adapted and translated scales: the Innovative Work Behavior scale by Janssen (2000) with 9 items (α=0.801), the Proactive Personality Scale (α=0.784) with 10 items (Seibert, Crant, & Kraimer, 1999), and the Survey of Perceived Organizational Support (Eisenberger, Huntington, Hutchison, & Sowa, 1986) consisting of 14 items (α=0.896). Simple linear regression revealed a highly significant effect of proactive personality on innovative work behavior (23.2%), whereas no significant effect of perceived organizational support on innovative work behavior was found. Multiple linear regression showed a significant simultaneous effect of both predictors on innovative work behavior (23.4%).

Keywords: Innovative Work Behavior, Proactive Personality, Perceived Organizational Support, Millennials.

Background

The development of the globalization era demands greater competitiveness across various sectors, including industry and economy. Indonesia, recognized as one of the rapidly developing countries, has been striving to improve its economic standing globally (Bomantama, 2018). In the Global Competitiveness Report, Indonesia ranked 37th in 2015–2016, dropped to 41st in 2016–2017, and rebounded to 36th in 2017–2018 (Sala-i-Martin & Schwab, 2015; 2016; 2017). Notably, the country experienced stagnation in the innovation pillar across those same years, indicating a systemic challenge in fostering workplace innovation.

Millennial workers, defined as individuals born between 1977 and 1995 (Hobart & Sendek, 2014), currently dominate Indonesia’s workforce. Approximately 17.96% of the total labor force—around 62.5 million people—belong to this generation (Anonim, 2018). Positioned between the retiring Generation X and the emerging Generation Z (Tulgan, 2016), millennials are expected to bridge knowledge gaps and drive innovation, particularly in the rapidly expanding information technology (IT) sector.

Innovative work behavior (IWB) refers to an employee’s capacity to generate, promote, and implement new ideas, products, processes, or procedures within their role, work group, or organization (Sulistiawan et al., 2017; Yuan & Woodman, 2010). IWB comprises three components: idea generation, idea promotion, and idea realization (Wang, Fang, Qureshi, & Janssen, 2015). IWB is considered a unique organizational asset (Janssen, 2000) that can enhance productivity and sustain competitive advantage in dynamic environments.

Individuals characterized by proactive personality tend to identify opportunities, take initiative, act courageously, and persevere toward change (Robbins & Judge, 2007). Prior research has consistently demonstrated a significant positive relationship between proactive personality and IWB (Li, Liu, Liu, & Wang, 2016; Windiarsih & Etikariena, 2017; Kong & Li, 2018). Millennials, who exhibit higher levels of proactive personality compared to other generations (Schings, 2010), possess the adaptive capabilities to drive innovation, especially in the IT field.

Alongside individual characteristics, organizational factors also influence IWB. Perceived organizational support (POS) reflects an employee’s belief in the organization’s commitment to their contributions and well-being (Eisenberger, Huntington, Hutchison, & Sowa, 1986). Particularly in Indonesia’s high power distance culture (Hofstede, Hofstede, & Minkov, 2010), where rigid hierarchies can hinder employee initiative, POS serves as a critical enabler of innovation (Abid, Zahra, & Ahmed, 2015; Afsar & Badir, 2016; Doğru, 2018).

Despite these theoretical links, empirical evidence on how proactive personality and POS simultaneously and independently predict IWB among Indonesian millennial IT employees remains limited. This study addresses that gap by testing the following hypotheses:

H1. Proactive personality has a significant effect on innovative work behavior.

H2. Perceived organizational support has a significant effect on innovative work behavior.

H3. Proactive personality and perceived organizational support simultaneously have a significant effect on innovative work behavior.

Methods

Sample

Data were collected from 131 millennial IT-sector employees using a purposive sampling method. Participants were required to be millennials (born 1977–1995), employed in the IT industry, and have worked at their current organization for at least one year. The sample consisted of 110 male (84%) and 21 female (16%) employees. Educational backgrounds varied: 4.6% high school graduates, 9.9% diploma (D3), 80.9% bachelor’s degree (S1), and 4.6% master’s degree (S2). Regarding marital status, 59.5% were single and 40.5% were married.

Measures

All instruments were adapted and translated into Bahasa Indonesia and administered as Likert-scale questionnaires.

Innovative Work Behavior (IWB) was measured using the scale developed by Janssen (2000), comprising 9 items across three components: idea generation (3 items), idea promotion (3 items), and idea realization (3 items). Items are rated on a 1–5 scale (1 = Never to 5 = Always). Cronbach’s alpha was α = 0.801.

Proactive Personality Scale (PPS) was adapted from Seibert, Crant, and Kraimer (1999), consisting of 10 unidimensional items covering indicators such as identifying opportunities, persisting toward goals, taking initiative, and embracing change. Items are rated on a 1–5 scale (1 = Strongly Disagree to 5 = Strongly Agree). Cronbach’s alpha was α = 0.784.

Survey of Perceived Organizational Support (SPOS) was measured using a short version scale adapted from Eisenberger et al. (1986), comprising 14 items (after item analysis) addressing indicators such as satisfaction with employee performance, appreciation of extra effort, consideration of employee goals and opinions, job enrichment, and employee welfare. Cronbach’s alpha was α = 0.896.

Results and Discussion

Three regression analyses were conducted to examine the predictive effects of proactive personality (PP) and perceived organizational support (POS) on innovative work behavior (IWB).

The results confirm H1: proactive personality exerts a highly significant and positive effect on IWB among millennial IT employees (β = 0.619, p < 0.01, adjusted R² = 0.245). This indicates that every 1-unit increase in proactive personality corresponds to a 0.619-unit increase in IWB. These findings align with prior studies (Li et al., 2016; Windiarsih & Etikariena, 2017; Kong & Li, 2018) and can be explained by the fact that proactive individuals are more adept at identifying opportunities, initiating action, and persisting through challenges—all of which are fundamental to generating and realizing innovative ideas in the workplace.

Millennials, who are inherently more technologically adept and open to change (Howe & Strauss, 2000), leverage their proactive traits to navigate the dynamic IT environment. Their willingness to experiment, engage in trial-and-error processes, and communicate ideas across generational divides (Ballenstendt & Rosenberg, 2008) further supports the expression of IWB.

Contrary to H2, no significant relationship was found between POS and IWB (p = 0.137). This result diverges from some earlier studies but is consistent with Janssen (2004), who argued that employees are capable of innovating through adaptive behavior even without strong organizational support. In high power distance cultures like Indonesia, where hierarchical constraints may limit overt organizational endorsement, individual-level proactive traits may override the need for external support.

The moderate POS levels (ME = 49.55) suggest that participants neither strongly endorsed nor dismissed organizational support. This neutral perception may explain why POS did not emerge as a significant predictor in this sample.

Regarding H3, the simultaneous model revealed a significant combined effect of PP and POS on IWB (adjusted R² = 0.250, p < 0.01). The slightly larger explained variance in the combined model (25.0% vs. 23.2%) suggests that organizational support, while insufficient alone, does augment the effect of proactive personality on innovative behavior. When individual initiative is complemented by perceived organizational endorsement, the likelihood of innovation expression increases (Neves & Eisenberger, 2014).

Descriptive analyses revealed no significant differences in IWB based on gender, marital status, or educational level, suggesting that IWB among millennial IT employees is a broadly distributed and stable trait-based tendency in this population.

Conclusion

Two of three hypotheses were supported. Proactive personality significantly predicted IWB (23.2%, p < 0.01), while POS alone did not (p = 0.137). However, their combined effect explained 23.4% of IWB variance (p < 0.01). The remaining ~77% variance suggests other unexplored factors contribute to IWB, such as leadership style, job autonomy, team climate, or organizational culture. These findings underscore the primacy of individual disposition in driving innovative workplace behavior, especially within Indonesia’s high power distance organizational context.

Suggestion

Organizations in the IT sector are advised to incorporate proactive personality assessment in recruitment processes to identify innovation-prone candidates. Regular, structured feedback mechanisms should be established to nurture a culture of continuous improvement, particularly for millennial employees. Future research should extend this inquiry to other generational cohorts to assess whether these relationships generalize across the workforce, and should explore additional predictors such as leadership support, psychological safety, and job autonomy.

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