How to foster an engaging work environment

Column

People Management

Leadership

September 16, 2024

How to foster an engaging work environment

The role of leadership involves clear communication regarding expectations, goals, organizational objectives, and necessary skills

Numerous studies seek to explain how leadership can foster an environment of engagement within their teams, catalyze a sense of belonging among employees, and sustain this behavior over time.

It is unnecessary to emphasize that engagement cannot be acquired like a product in a supermarket, as we are dealing with human beings, who possess varied beliefs, values, mental models, motivations, and interests. It is this diversity that significantly contributes to new ideas, different points of view, and constant questioning of status quo. All of this favors the growth and perpetuity of businesses.

Thus, leaders will need to understand their role in fostering and maintaining an environment where people feel engaged with their work and the company they work for, effectively working in diverse teams. To this end, it is important, first, to understand what an engaged team means and what its characteristics are.  

Studies indicate that people engaged with their work are proactive; they face challenges as opportunities for growth and a way to increase their potential, using the companies they work for as laboratories for personal and professional growth; they err, get up, fall again and succeed, extracting lessons important from mistakes and successes.

Furthermore, engaged people demonstrate dedication and consistent commitments, and when they perform complex and challenging activities, they become fully concentrated to perform work of differentiated quality, entering the state of flow, that is, totally absorbed, to the point of losing track of time and space.

We could, therefore, say that leaders would like to have teams with these characteristics. The good news is that leaders can indeed catalyze an environment of commitment, engagement, and a sense of belonging in their teams, but for this, they need to promote a culture of responsibility within their areas and organizations, the so-called leadership accountability, which would be the “holding accountable” of leaders or the “responsibility” of leadership in promoting, from their teams, environments of commitment, transparency, ethics, and diversity.

The main pillars of leadership accountability are:

  • Common purpose – Communication rituals with clarifications on the importance of the activities people perform and their impacts on organizational objectives and company strategy. This contributes to people understanding that what they do in the company has a greater purpose;
  • Clear expectations – Clarity on what is expected from the team (outcome to be achieved). This helps people understand their performance goals, standards, and expected behaviors;
  • Clear capacity – What skills do people need to meet expectations; what resources will they need (which must be provided). The more qualified the team, the more strategic ideas will come from it. Skills and challenges in balance foster proactivity, self-efficacy, and self-confidence, catalyzing “intrapreneurship,” which is the ability to innovate within the company, proposing new ways of performing work, creating products and services with a sense of ownership.
  • Clear measurement – Communication rituals should address expectations, goals to be achieved, agreement on delivery milestones, and how this result will be measured. Leaders need to hold people accountable for their actions and results, fostering commitment conversations.
  • Clear feedback – Honest, open, and two-way feedback on the assessed indicators. This feedback should be continuous, systematic, positive, and corrective, aiming for continuous performance improvement by the teams. A culture of feedback and recognition contributes to maintaining consistent dedication – one of the pillars of engagement.
  • Team empowerment – Delegating, granting autonomy, and enabling decision-making are attitudes that contribute to a sense of belonging, as people understand they are protagonists of organizational results, taking ownership of their actions, behaviors, and feelings, which, in turn, increases self-motivation and self-realization.
  • Culture of trust and transparency – Our results, behaviors, and attitudes involve what we do and the people we interact with. In this sense, leadership needs to build a trusting relationship within their teams, being fair and transparent in all processes. Furthermore, they need to foster environments for exchange, without fear of retaliation from the team, where everyone can constantly speak up and give their point of view, bringing security to take risks, face challenges, succeed, fail, and assert themselves when needed.
  • Personal example – Leaders need to set an example, demonstrate integrity, keep their promises, take responsibility for their actions, be ethical, and be human. Self-efficacy, one of the characteristics of engaged people, is catalyzed when there is experimentation with successful situations through the use of their potential, as well as observing and learning from the successful behaviors and examples of other people. In this context, leadership must constantly set an example.

It is not easy to maintain team engagement consistently. This requires hard and systematic leadership work involving daily actions, attitudes, and behaviors. Leadership does indeed have important responsibilities in fostering a committed environment and, when it understands its role in this process, it can achieve superior results from the people it leads.

To access the references of this text click here

Who wrote this column

Denise de Moura

É consultora de Recursos Humanos com 27 anos de experiência; atuou em pequenas, médias e grandes empresas como Petrobras SA e Lojas Americanas. É professora convidada do MBA USP/Esalq desde 2013, doutora em administração; tem mestrado em sistemas de gestão e pós-graduação em gestão da qualidade total. Escreveu o livro “Cansei de Sofrer no Trabalho” (Qualitymark Editora, 2012) e idealizou o site www.dicasinfaliveis.com.br.

You may also like

October 22, 2026

Consumer Journey in the Decision to Purchase Infoproducts in the Digital Environment

The expansion of e-commerce and technological transformation have driven the need to understand consumer behavior regarding infoproducts, whose perceived experience has become crucial for professional development. The study aimed to analyze the factors that influenced the purchase decision of infoproducts in the digital environment, considering the stages of the consumer journey. An applied, quantitative, and descriptive research was conducted through a field survey with 100 consumers from Serra Gaúcha. Data collection occurred via a structured questionnaire, using non-probabilistic sampling. The results revealed a qualified audience with strong “mobile-first” behavior. It was found that the availability of detailed information and social approval were the main attraction triggers in the pre-purchase phase. In the transactional and subsequent stages, the minimization of operational friction, the agility of immediate access, and system security proved crucial for conversion and satisfaction, although gaps in human support efficiency were identified. Retention was based on the trust generated by positive past experiences, overcoming the price factor. It was concluded that the infoproduct consumer journey operates as an integrated system, requiring alignment between technological infrastructure, content curation, and support humanization to ensure engagement.

Keywords: E-commerce; Consumer behavior; Consumer experience; Loyalty; Virtual business.

October 22, 2026

Forecast of Aggregate Default in the Brazilian Financial System by Sarimax Model with Macroeconomic Variables

Aggregate non-payment in the Brazilian financial system is a crucial indicator of credit risk, the prediction of which is regulated by CMN Resolutions n.° 4.557/2017 and 4.966/2021 for the prospective measurement of expected losses. Aggregate non-payment was modeled and predicted using the SARIMAX model, projecting its trajectory until December 2026 under optimistic, base, and pessimistic scenarios. 164 monthly observations (July/2012 to February/2026) and macroeconomic variables such as unemployment, Selic, IPCA, IBC-Br, and household debt were used. The specification with contemporaneous variables was selected based on information criteria and coefficient stability, and residual diagnostics confirmed statistical adequacy, with a MAPE of 3.12%. Historical non-payment ranged between 4.33% and 7.64%. The estimation identified unemployment (β = 0.2534; p < 0.001) and Selic (β = 0.2128; p < 0.001) as the main positive determinants, with strong temporal persistence (AR(1) = 0.8965). Selic showed increasing correlation with non-payment (r = 0.62 at lag 12), while unemployment demonstrated a contemporaneous effect (r = 0.33). Projections indicated non-payment between 6.30% and 7.98% in December 2026, with a range of 1.68 percentage points, highlighting direct implications for provisioning in financial institutions.

Keywords: Unemployment; Predictive modeling; Monetary policy; Loss provisioning; Time series.

October 22, 2026

Combating Commercial Electric Energy Losses Using a Time Series Model

Commercial losses of electric energy represented one of the main challenges for distributors, directly impacting economic sustainability and supply quality. The efficiency of time series models, focusing on exponential smoothing techniques, was evaluated in forecasting billed consumption of consumer units, to support the identification of deviations associated with non-technical losses. Historical data of monthly consumption from an electric energy distributor in Brazil were used, segmented by behavior profiles (stationarity, trend, and seasonality). Simple exponential smoothing models, Holt, and Holt-Winters (additive and multiplicative) were applied, compared to a traditional moving average. The Mean Absolute Percentage Error (MAPE) was the evaluation criterion. Additionally, the ETS approach was employed for automatic model selection and residual diagnostic tests, such as Ljung-Box and autocorrelation function analysis. The results demonstrated that more robust models showed a greater capacity for adaptation to the series’ characteristics and lower error, with a highlight on superior performance in scenarios with trend. For seasonal series, the ETS model showed a greater capacity for adaptation to transitions. It was concluded that the use of more structured time series models contributed significantly to the improvement of forecast accuracy and offered relevant analytical support for the identification of commercial losses and the optimization of operational and commercial processes in the electric sector.

Keywords: Energy distribution; MAPE; Optimization; Consumption forecasting; Exponential smoothing.