scholarly journals Reaching more customers, delving into the unknown

2021 ◽  
Vol 12 (2) ◽  
pp. 404-421
Author(s):  
Leandro Adolfo Viltard

Organizations have ineffective information management practices, and improper analytical methods and tools for innovations. As a consequence, customers are not appropriately reached, decision-making is compromised and –unfortunately- most innovations don’t achieve the desired results. In this sense and through the study of Disruptive Innovation Theory (DIT) and Job To Be Done Theory (JTBDT) –developed by Harvard Professor Clayton Christensen- it is pointed out that a novel universe of value is created for small firms and incumbents in their innovation environments. In other words, “unrevealed” areas of opportunities (or Disrupted Innovation Theory, DIT) and “undisclosed” products (Job-To-Be-Done Theory, JTBDT) take place, allowing a wide range of new organizational and social development, not only a different/better/worse known market or product. This result in an additional distinction between two antagonistic fields that coexist in the current business context: the known field (referred to sustaining innovations) and the unknown one (connected with DI and JTBD). Managers are urged to understand their differences, and theories/tools must be reconsidered to manage those opposite worlds. Therefore, the hypothesis of this investigation –which was corroborated- states that a deep understanding of DIT and JTBDT can help to reach more customers with adapted products, and to wider develop organizations and markets. It was utilized a qualitative methodology, with an exploratory descriptive study. The design was non-experimental and -within them- transversal, since the information was collected at a given moment of time.

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Dirk Vriens ◽  
Klaus Solberg Søilen

Disruptive innovations are innovations that have the capacity to transform a whole business into one with products that are more accessible and affordable (cf. Christensen et al. 2009). As Christensen et al. argue no business is immune to such disruptive innovations. If these authors are right, it might be relevant to be able to recognize these innovations before they disrupt a business. Incumbents may use this information to protect their business and others may use it to participate in the disruption. Either way, gathering information about potential disruptive innovations is a relevant activity. The production of this information (we call this information “disruptive Intelligence”) is the topic of this paper. In particular, we analyze disruptive innovation theory and formulate several intelligence topics which may help in predicting disruptive innovations. In addition, we formulate several ‘biases’ which may impair the production of ‘disruptive intelligence’.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jasmin Mikl ◽  
David M. Herold ◽  
Kamila Pilch ◽  
Marek Ćwiklicki ◽  
Sebastian Kummer

Purpose Disruptive technologies in the global logistics industry are often regarded as a threat to the existing business models of incumbents’ companies. Existing research, however, focuses mainly on whether technologies have disruptive potential, thereby neglecting when such disruptive transitions occur. To understand the timing of potential disruptive technological change, this paper aims to investigate the elements of the underlying ecosystem shaping these transitions. Design/methodology/approach Building on the established ecosystem framework from Adner and Kapoor (2016a), this paper constructs four categories of technology substitution to assess how quickly disruptive change may occur in the global logistics industry and defines key technology substitution determinants in logistics to emphasize the role of ecosystems for further consideration into disruptive innovation theory. Findings Based on the key determinants, this paper proposes first definitions of distinctive ecosystems elements linked to the three types of innovations, namely, sustaining innovations, low-end disruptions and new-market disruptions, thereby integrating ecosystems into Christensen’s (1997) disruptive innovation theory. Originality/value By developing a framework that conceptualizes the pace of technology substitution, this paper contributes to a more nuanced understanding of how logistics managers and academics can better predict disruptive transitions and develop strategies to allocate resources.


2020 ◽  
Vol 13 (3) ◽  
pp. 1
Author(s):  
Ciro Troise ◽  
Elia Ferrara ◽  
Mario Tani ◽  
Ornella Papaluca

The paper aims to explore the App Economy drawing on a configurational multiple-theory perspective (Meyer, Tsui & Hinings 1993; Miller, 1996), using the lens of Transaction Costs Theory, Regulation, Disruptive Innovation Theory and Systemic Approach. These theories are examined in the form of tenets. The choice of these theories as dimensions of our model is the output of two different activities. The first regards an ex-ante analysis of the previous studies in this field in order to find less investigated perspectives and find a connection between the topic of the App Economy and the main management theories; the second refers to a debate with some strategic management scholars in order to identify and choice the main theories for this research. This paper contributes to the existing literature by proposing an original interpretation of the App Economy and it tries to add new knowledge in this emerging research field by adding new tenets. The results of study are the formulation of eight different tenets: two for Transaction Costs Theory, one for Regulation, three for Disruptive Innovation Theory and two for Systemic Approach. These results have confirmed the linked between chosen theories and the new research field of the App Economy. In any case, this paper is a preliminary study to develop a theoretically grounded approach to understanding the emergence of the App Economy and how manage the changes that it brings into the markets. This study has implications for several stakeholders (such as managers, enterprises, institutions, Authorities, app developers, operators, platform managers and other organizations that work in this field), and for several industries being impacted by developments induced by this innovative sharing economy.


Sign in / Sign up

Export Citation Format

Share Document