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Enregistrement W2975815114 · doi:10.1108/jkm-11-2018-0707

Entrepreneurs’ ingenuity and self-imposed ethical constraints: creating sustainability-oriented new ventures and knowledge

2019· article· en· W2975815114 sur OpenAlex

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Notice bibliographique

RevueJournal of Knowledge Management · 2019
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovation and Socioeconomic Development
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésIngenuityCreativitySustainabilityEntrepreneurshipFlexibility (engineering)Knowledge managementBusinessManagementComputer sciencePsychologyEconomics

Résumé

récupéré en direct d'OpenAlex

Purpose Ingenuity can be viewed as the use of creativity to develop innovation within constraints. The authors investigate how entrepreneurial ingenuity is enhanced by self-imposed ethical constraints, by using a case study of sustainability-driven technology enterprises in an emerging economy. The authors find that self-imposed ethical constraints can enhance entrepreneurial ingenuity because they encourage entrepreneurs to solve more complex problems as a result of considering the impact of the business on a more diverse set of stakeholders. The aim of this study is to show that while additional resources are normally considered an advantage, a dearth of resources can be a source of competitive advantage leading to ingenuity. By self-imposing ethical constraints, founders increase engagement of stakeholders who shape the firm’s industry toward greater sustainability knowledge. Design/methodology/approach The authors used semi-structured interviews which are typically the most important data source in the Gioia methodology because they provide both retrospective and present accounts by individuals experiencing the phenomenon of theoretical interest (Gioia et al. , 2012). The authors focused on founders at each enterprise who had sufficient knowledge to speak comprehensively and authoritatively about their organizations. The goals of the semi-structured interview protocol were to focus on the research question, avoid the use of terminology that could lead interviewees in their answers and maintain flexibility to explore spontaneous themes during the interviews. Findings The authors examined the influence of entrepreneurial ingenuity on the creation of knowledge in an organization's environment. They defined entrepreneurial ingenuity as a type of organizational ingenuity (Lampel et al. , 2014a, 2014b) and by focusing on the role of ethical constraints, examined the conditions under which it is influenced. They emphasized that ethical constraints warrant consideration in the knowledge management process (Rechberg and Syed, 2013) because they can stimulate entrepreneurial ingenuity. The authors also investigated the relevance of ethical constraints for founders of social enterprises in Brazil, an emerging economy of growing interest to knowledge management scholars. Research limitations/implications This study brings the following three main contributions. First, by incorporating the scope of social entrepreneurship, the research contributes to the perspective that both ethics and innovation can positively coexist within an organization while contributing to knowledge management creation and success (Borghini, 2005; Schumacher and Wasieleski, 2013). Second, the authors establish ethics as an important type of constraint that can spark ingenuity and help break through the constraints of bounded awareness for knowledge management (Kumar and Chakrabarti, 2012). Third, by highlighting the role of self-imposed ethical constraints, this study helps answer a recent call for research on “entrepreneurial actions that benefit others” (Shepherd, 2015, p. 490) addressing “What are the constraints that disable or obstruct an organization’s normal routines from alleviating human suffering?..It could be less about whether it is good or bad to ignore constraints and more about which constraints are ignored and which are abided by” (Shepherd, 2015, pp. 499, 501, emphasis added). Practical implications In this study, the authors show that entrepreneurs facing ethical dilemmas experience a unique cycle of equilibration, essentially throwing customary norms of equilibrium into disequilibrium. Treating ethics as both a lever and a constraint allows a more unique set of problems to be solved through knowledge management and entrepreneurship, so solutions to these problems can themselves become new sustainability-driven businesses. Social implications This study opens up several opportunities for future research. The authors conducted a study with five sustainability-driven enterprises from Brazil. New research may benefit from examining a larger number of organizations in other countries to investigate potential environmental differences that affect ingenuity and knowledge management. This study highlights the notion of ethical constraints as enabling mechanisms, and thus self-imposed ethical constraints merit a more systematic consideration as a key additional factor that may inspire disruptive innovation (Christensen, 2013), blue-ocean strategy (Kim and Mauborgne, 2004), as well as value-creation for stakeholders (Tantalo and Priem, 2016). Originality/value Resources are critical to both knowledge management and entrepreneurial activity and have been examined from numerous perspectives (Alvarez & Busenitz, 2001; Barney, Wright, & Ketchen, 2001; Moustaghfir and Schiuma, 2013). Entrepreneurs following a creation strategy depend less on accumulating existing knowledge and resources before beginning, and more on forming new knowledge or relationships that do not yet exist. They do this through a process of entrepreneurial trial and error (Alvarez & Barney, 2007, 2010). From a knowledge management perspective, individual knowledge sharing through both experimentation and learning by doing provide consistently high levels of knowledge sharing (Burns, Acar and Datta, 2011). This research emphasizes that constraints, such as limited resources and self-imposed ethical standards, can be a source of advantage leading to ingenuity and knowledge creation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,777
Score d'incertitude au seuil0,820

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,246
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle