Abstracts
ABSTRACT: This paper identified the intangible aspects (IA) that generate impacts in companies of the agricultural sector in the different stages of the companies life cycle. This paper is based on a systematic review methodology to identify intangibles in the agricultural sector. Studies on the life cycle of companies were analyzed to classify the impact of intangible aspects according to the reality of companies. Identify the intangible aspects that impact the agricultural sector through a review of the scientific literature. How intangible aspects affect each stage of the life cycle of companies in the sector shows that they have a different impact depending on the period in which the company is located. Although, much of the previous literature has suggested that intangible aspects have positive effects on a variety of performance variables, there are no scientific studies that specifically address the importance of these intangible aspects in the life cycle of companies in the agricultural sector.
Key words: intangible indicators; company life cycle; performance; competitive advantage
RESUMO: O objetivo deste trabalho é identificar os aspectos intangíveis (AI) que geram impactos nas empresas do sector agrícola nas diferentes fases do ciclo de vida das empresas. Para isso, utilizamos a metodologia de revisão sistemática para identificar os intangíveis no setor agrícola. Foram analisados estudos sobre o ciclo de vida das empresas para classificar o impacto dos aspectos intangíveis de acordo com a realidade das empresas. A forma como os aspectos intangíveis afetam cada fase do ciclo de vida das empresas do setor mostra que estes apresentam um impacto diferente consoante o período em que a empresa se encontra. Embora grande parte da literatura anterior tenha sugerido que os aspectos intangíveis têm efeitos positivos em diferentes variáveis de desempenho, não existem estudos científicos que abordem especificamente a importância destes aspectos intangíveis no ciclo de vida das empresas do setor agrícola.
Palavras-chave: aspectos intangíveis; ciclo de vida de companhias; setor agrícola
INTRODUCTION:
Competitive advantage in the industry depends on the formulation of appropriate strategies and the continuous effort to manage performance based on these strategies (HARIYATI & TJAHJADI, 2018). In the context of the Covid-19 pandemic, while Industry and Services numbers shrank, agriculture’s share of GDP in most countries increased (FAO, 2022). This factor intensifies competition among organizations in the agricultural sector, making the evaluation and monitoring of performance indicators a differentiation and survival strategy for these organizations (GUNAWAN & WIDODO, 2022).
Intangible Aspects (IA) - or intangible indicators - are the most valuable non-monetary assets of an organization, as they are difficult for competitors to replicate and provide important information for decision-making (ZHANG & WANG, 2022). Thus, identifying and measuring IA helps companies to create value and achieve competitive advantage (KHAN et al., 2019; WANG, et al., 2019). Although, much of the literature suggested that IA has a positive effect on a number of performance variables, such as return on investments (OMODARA et al., 2021), profitability (HANSON et al., 2022), value creation (XU& LIU, 2021), or technical efficiency (NGUYEN-ANH et al., 2022), there are no scientific studies that specifically address the importance of these IA in the life cycle of companies in the agricultural sector.
In the law of the market economy, the potential for survival of the fittest depends on understanding the process of sustainable development and the stages of the company life cycle, which have effects on the business model and considerable weight in strategic management, which reflects in business performance (MARRUCCI et al., 2022; ZHANG & WANG, 2022). According to MICHELIN et al. (2022), the stages of the company life cycle have well-defined characteristics that interfere with the development of organizations. The stages in the company life cycle present different opportunities and obstacles, so the aspects that impact each stage can also diversify. According to MORETTI & BIANCARDI (2020), the companies’ configurations influence the IA, such as the period that the company is experiencing.
Given the increasing competitiveness in the agricultural sector and the importance of managing IA according to the life cycle stages of companies, this paper seeks to answer two questions: (i) what are the IA that impact the performance of companies in the agricultural sector? (ii) how do IA impact the life cycle stages of agricultural sector enterprises? This paper identified the IA that generate impacts in companies of the agricultural sector in the different stages of the life cycle of the companies. Besides the introductory chapter, this paper contains the research methodology, the results obtained, the theoretical and practical implications, and the final considerations.
MATERIALS AND METHODS:
The method used to analyze the articles was the systematic review, which presents a research protocol that allows the identification, selection and extraction of the studies (DRESCH & LACERDA, 2016). In addition to enabling an orderly searching that encompasses materials related to the topic, the systematic review facilitates the analysis of the content of the articles. Figure 1 shows the steps of the systematic review.
To encompass the impact of intangibles on the agricultural sector in general, the keywords used to develop the search string were “intangible” and “agriculture”. According to the keywords, the search string encompasses the scientific articles that in some way cite the performance of IA in the agricultural sector. The search string used was: (“intangible aspect*” OR “intangible indicator*” OR “intangible asset*” AND (agric*). The search string assists in identifying the intangible aspects that impact companies in the agricultural sector, as presented by different authors.
The scientific articles explored by the systematic review covered all years of research, as all areas of study. The search does not limit the research and covers all scientific studies that can contribute to the theme. For the quality of the articles identified, the search included only complete studies published in periodicals and events. Only English, Spanish and Portuguese languages were considered.
The search string was applied to the Scopus database (SCOPUS, 2022), which has the largest number of peer-reviewed abstracts and citations, and to the Web of Science, which has full texts available in more than 45,000 periodicals (Web of Science, 2022). In applying the string, the systematic review identified 297 articles. The Mendeley software (Version: 1803) helped in the organization and analysis of the 297 articles found, besides allowing the identification and exclusion of duplicate articles. In addition, the software contributed to inspectional reading, including reading the titles and abstracts of the selected materials. Mendeley software features the ability to build a library of articles that facilitates the investigation of scientific literature.
The first filter of articles is called inspection reading. In this step of the systematic review, the titles and abstracts of the articles were analyzed. As exclusion criteria, articles that did not present a title or abstract identifying any IA of impact for the agricultural sector were excluded. After the inspectional reading, 160 articles did not have any relationship with the research theme in the title or abstract; therefore, they were excluded. The inspectional reading allowed the exclusion of 160 articles, selecting 137 as potential contributors to the paper.
The analytical reading constituted the complete reading of the 137 selected scientific articles. The thorough reading of the articles clarified which articles were related to the topic of the study. As an exclusion criterion, articles that did not present any citation of IA impacting companies in the agricultural sector anywhere in their study were excluded. Thus, 99 articles were excluded in the analytical reading stage. A total of 38 articles that presented the analysis of IA related to the agricultural sector were selected.
The development of the systematic review was essential to identify and analyze the IA that generate impact in companies in the agricultural sector presented in the scientific literature. It was possible to diagnose that the scientific literature identifies the importance of IA in different fields that contribute to the agricultural sector. Upcoming chapters highlighted how IA impact the agricultural sector, as other information was diagnosed by the systematic review.
RESULTS AND DISCUSSION:
The systematic literature review enabled the identification of the IA that generate impact on companies in the agricultural sector. The table 1 presents all the intangibles identified as the authors define their characteristics and impact on organizations.
In order to diagnose in which stages of the company’s life cycle the intangible aspects generate impact, this research uses the model by MICHELIN et al. (2022), shown in figure 2 .
MICHELIN et al. (2022) make comparisons between several company life cycle models proposed by authors in the scientific literature and the model proposed by FISK (2009). FISK (2009) uses easy vocabulary to understand for managers present in industries. The author works heavily with consultancies, literary works, and appearances at events. The authors’ main insights and awards are available on their website. FISK’S (2009) model identifies seven stages in the life cycle of companies: Create, Launch, Stabilize, Extend, Mature, Evolve and Exit. Analyzing these stages helps managers understand the company’s context and is essential to overcoming challenges and seizing market opportunities (MICHELIN et al., 2022).
The division of the next subchapters follows the life cycle stages of companies. The designation of the stages follows the suggestion of FISK (2009), but the characteristics of each stage include the comparison of MICHELIN et al. (2022). Thus, this research analyzes different factors within each stage of the companies. In each subchapter, the IA that affect the respective life cycle stages of the companies are presented.
1.1 Create
The first stage in the life cycle of companies is called “Create” (FISK, 2009). The analysis of the best market opportunities and the initial structuring of the company are the focus of the initial stage. Business founders must develop an initial plan that considers available financial resources, target audience, and costs for their first products (FISK, 2009).
MICHELIN et al. (2022) compares the Create stage (FISK, 2009) with the “Existence” (LESTER et al., 2003) and “Dating” (ADIZES, 2004) stages. In both stages, the key competencies required for business creation, entrepreneurial skills and creativity, prove essential for market knowledge and solution development. Business conception requires clear ideas and good communication with partners, and the create stage requires inspiration from the founders and investigation of market conditions. Table 2 contains the IA that affects the Create stage.
1.2 Launch
The “Launch” stage is the second stage of the companies’ life cycle and focuses on building brand equity (FISK, 2009). The most important goals for the company are knowledge transfer, initial sales, promised delivery, and maximizing the impact of the launch with the goal of building awareness of the new brand, affinity partners, and delivery of products and services. It is important for managers to understand the obstacles that need to be overcome to take the business to a higher level (MICHELIN et al., 2022).
At the beginning of the stage the company develops its first transactions and contacts in the market, shows signs of behavioral change and begins to use methods to develop its processes in a standardized and efficient way (FISK, 2009). Compare “Launch” stage with the life cycle studies of other authors, MILLER & FRIESEN (1984) with the growth stage and HANKS et al (1994) with the expansion phase. Both authors argued that a company should ascend to increase its market volume and conquer the competitive space. Table 3 contains the IA that affects the Launch stage.
1.3 Stabilize
The third stage of the company life cycle is referred to as stabilization and focuses on the consolidation of the firm in the marketplace (FISK, 2009). MILLER & FRIESEN (1984) assumed that the third stage refers to the stability of a company, which determines its growth and development. The organization has already reached a certain level of behavior and knows the resources and requirements of the specific market.
The main actions in the stabilize stage encompass the formation of a niche in the market and customers, along with growth strategies to improve efficiency in processes (FISK, 2009). Marketing, sales and outsourcing actions should be maintained to create value for the company. Authors MILLER & FRIESEN (1984) define company stabilization as a stage of market consolidation, but also an opportunity to create business expansion strategies. Table 4 contains the IA affecting the Stabilization stage.
1.4 Extend
“Extend” is the fourth stage of FISK’S (2009) life cycle, also referred to as the collective stage (QUINN & CAMERON, 1983), success (LEWIS& CHURCHILL, 1983), growth (MILLER & FRIESEN, 1984), expansion (HANKS et al., 1994), delegation and direction (GREINER, 1997), renewal (LESTER et al., 2003), or adolescence (ADIZES, 2004), according to MICHELIN et al. (2022). For a firm to expand, it must innovate through market development activities, product development activities, or both, and thus strategies such as mergers and acquisitions or hiring employees for support activities are common in this stage (FISK, 2009; MICHELIN et al., 2022).
Satisfying customers and achieving operational excellence are the priorities of expansion, but the investment costs in physical structure and sales promotion, as well as the high bureaucratic burden, must be closely monitored and managed in the best possible way (MICHELIN et al., 2022). Table 5 summarizes the main IA and their impact on the “Extend”.
1.5 Mature
In the “Mature”, the most important word is concentration on the most important resources, products and customers (FISK, 2009). Since market demands and changes, as well as investment priorities, must be carefully analyzed, indicator management is of paramount importance in this stage to make the best decisions by using the most important internal characteristics of the company (MICHELIN et al., 2022).
If they have no interest in moving forward, a mature company is already consolidated, and companies can be content to remain at that stage (MICHELIN et al., 2022). Maturity, according to Michelin et al. (2022), can also be referred by other terms such as formalization and control (QUINN& CAMERON, 1983), resource maturity (LEWIS& CHURCHILL, 1983), consolidation (HANKS et al., 1994), coordination and collaboration (GREINER, 1997), success (LESTER et al., 2003), and abundance (ADIZES, 2004). The IA and their respective effects on Mature stage are listed in table 6.
1.6 Evolve
“Evolve” is the sixth stage in the company life cycle and focuses on strategic business innovation (FISK, 2009). Even if the company has already reached the maturity stage and is consolidated in the market, at a certain point managers need to understand that the company needs to evolve and move to a higher level (MICHELIN et al., 2022).
The company that reaches the Evolve stage shows that it adapts to the dynamics of the market and is flexible to find new ways to grow. The main characteristics of this stage include the innovation and the business model, which depend on the energy of the executives and the employees responsible for the management of the company. MICHELIN et al. (2022) compare the Evolve stage (FISK, 2009) with the stages of the corporate life cycle of other authors, such as the stages of diversification (HANKS et al., 1994) and renewal (LESTER et al., 2003). Both authors argue that this stage represents an expansion of the company so that it can reach its development peak if it is successful in this stage. Table 7 contains the IA that affects the Evolve stage.
1.7 Exit
The last stage of the life cycle of companies is called “Exit” and represents the end of the company or the definition of an alternative to the end (FISK, 2009). Authors CHURCHILL and LEWIS (1983), MILLER & FRIESEN (1984), and HANKS et al. (1994) refer to the last stage as decline, where the company finds itself weakened for some reason and must take a new path. The most important actions in this stage include conducting a retrospective and rational analysis of the company. The options of renewal or closure must be considered as it is an important decision for the future of the company (MICHELIN et al., 2022). A retrospective and rational analysis of the company must be conducted, so the options of renewal or closure must be considered (MICHELIN et al., 2022). The exit stage is characterized by important decisions made by managers, so IA should influence these activities. Table 8 shows the IA that affect the exit stage of companies and the explanation for the caused impact.
CONCLUSION:
The IA present in the stages of the life cycle of the rural company can affect the competitiveness of the business in the agricultural market in different ways. For example, Human Capital, Intellectual Capital and Know How are present in all stages of the agricultural companies’ life cycle, which demonstrates that intangible aspects related to people tend to influence the performance from the beginning to the end of their development business process. Trust, on the other hand, is more important in early stages (Create and Launch) and final stages (Evolve and Exit) of the business cycle. IA such as Innovative Property and Member involvement are concentrated in the intermediate phases of the cycle, like Stabilize, Extend, Mature and Evolve.
So, the study brings a new contribution by bringing together the intangible aspects present in rural activities and relating them to each stage experienced by the company. This can help entrepreneurs understand what to look for and where to invest when it comes to intangible resources, aiming to increase business performance in relation to the stage it is in. The study also generates opportunities for the scientific community. Future applied research can test the model built in business environments that are in different stages of life and compare whether IA impacts organizational performance at different levels.
All this helps to strengthen the interconnection between university, business and society, contributing efficiently to the economic development of the community. We also provide some information that allows rural entrepreneurs to better understand their performance and how their actions are reflected in their behavior. In addition, studies involving the life cycle of companies and intangible aspects help rural companies to position themselves competitively.
ACKNOWLEDGEMENTS
This study was supported in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the fellowship of research productivity. Gerhardt were supported by a research grant of CAPES - Brasil (CAPES process Gerhardt No. 88882.427769/2019-01). Siluk were supported by a research grant of CNPq - Brazil (CNPq process Siluk No. 308057/2020-1). Manosso were supported by a research grant of CAPES - Brasil (CAPES process Manosso No. 88887.713378/2022-00).
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Edited by
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Editors: Leandro Souza da Silva (0000-0002-1636-6643) Janaína Balk Brandão (0000-0002-3044-3473)
Publication Dates
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Publication in this collection
22 Dec 2023 -
Date of issue
June 2024
History
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Received
15 May 2023 -
Accepted
20 Sept 2023 -
Reviewed
01 Nov 2023