Resistance to Innovation: Its Sources and Manifestations
By Shaul Oreg and Jacob Goldenberg
()
About this ebook
Shaul Oreg and Jacob Goldenberg bring the insights of marketing and organizational behavior to bear on the attitudes and behaviors of the remaining 80 percent who resist innovation. The authors identify two competing definitions of resistance: In marketing, resistance denotes a reluctance to adopt a worthy new product, or one that offers a clear benefit and carries little or no risk. In the field of organizational behavior, employees are defined as resistant if they are unwilling to implement changes regardless of the reasons behind their reluctance. Seeking to clarify the act of rejecting a new product from the reasons—rational or not—consumers may have for doing so, Oreg and Goldenberg propose a more coherent definition of resistance less encumbered by subjective, context-specific factors and personality traits. The application of this tighter definition makes it possible to disentangle resistance from its sources and ultimately offers a richer understanding of consumers’ underlying motivations. This important research is made clear through the use of many real-life examples.
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Resistance to Innovation - Shaul Oreg
Resistance to Innovation
Resistance to Innovation
Its Sources and Manifestations
SHAUL OREG & JACOB GOLDENBERG
THE UNIVERSITY OF CHICAGO PRESS
CHICAGO AND LONDON
SHAUL OREG is associate professor of organizational behavior at the School of Business Administration at the Hebrew University of Jerusalem. He is a coeditor of The Psychology of Organizational Change. JACOB GOLDENBERG is professor of marketing at the Arison School of Business at the Interdisciplinary Center Herzliya, visiting professor at Columbia Business School, and the author or coauthor of several books, including Inside the Box.
The University of Chicago Press, Chicago 60637
The University of Chicago Press, Ltd., London
© 2015 by The University of Chicago
All rights reserved. Published 2015.
Printed in the United States of America
24 23 22 21 20 19 18 17 16 15 1 2 3 4 5
ISBN-13: 978-0-226-63260-5 (cloth)
ISBN-13: 978-0-226–23732-9 (e-book)
DOI: 10.7208/chicago/9780226237329.001.0001
Library of Congress Cataloging-in-Publication Data
Oreg, Shaul, 1970– author.
Resistance to innovation : its sources and manifestations / Shaul Oreg, Jacob Goldenberg.
pages cm
Includes bibliographical references and index.
ISBN 978-0-226-63260-5 (hardcover : alk. paper)—ISBN 978-0-226-23732-9 (e-book) 1. Technological innovations—Social aspects. 2. Technological innovations—Psychological aspects. I. Goldenberg, Jacob, 1962– author. II. Title.
HD45.07294 2015
658.5'75—dc23
2014033480
♾ This paper meets the requirements of ANSI/NISO Z39.48–1992 (Permanence of Paper).
Contents
Introduction
PART I: Sources of Resistance
CHAPTER 1. It’s Not the Innovation, It’s the Adopter: Why Some People Are More Likely Than Others to Resist
CHAPTER 2. What’s in It for Me, and What Do I Have to Lose? Practical Reasons for Resisting Innovation
CHAPTER 3. It’s Not What You Introduce, It’s How You Do It: The Process of Innovation Introduction
CHAPTER 4. Where and When Is the Innovation Introduced? The Role of Innovation Context in the Emergence of Resistance
PART II: Resistance Manifestations
CHAPTER 5. Lagging: Innovation in Disguise
CHAPTER 6. Resistance and the Dangers of Negative Word of Mouth
CHAPTER 7. The Dual-Market Effect
Epilogue
Index
Introduction
New product introduction is a major activity of firms. About 25,000 new products are introduced each year in the United States alone. Most of them, however, end up failing (McMath and Forbes 1998; Bobrow and Shafer 1987). In view of the fact that expenditures for developing new products increase as the marketing process advances toward the product’s launch, it is critical for firms to screen out concepts and ideas that are likely to fail, as early in the process as possible (Dolan 1993). Previous research on new product performance has shown that a wide variety of factors influences the outcome of new product development activities (cf. Montoya-Weiss and Calantone 1994; Freeman 1982; Virany, Tushman, and Romanelli 1992; Cooper and Kleinschmidt 1987; Lilien and Yoon 1989). These determinants usually involve some combination of strategy; development process; and organizational, environmental, and market factors. But despite the large body of research on success and failure, product failure is still surprisingly common. Whether one defines failure as the product not reaching expected sales, or as an absolute low level of sales, the large majority of products end up failing, with 95% failing according to the former definition, and 60% according to the latter.
Aiming to maximize performance, marketers in the field of innovation focus their attention on consumers who react favorably to innovations and have little resistance, if any, toward them. We don’t blame them; these are the people who are first to adopt innovations, they read consumer reports, participate in online innovation-oriented forums, and even provide companies with feedback on their products. In an innovation’s life cycle, they are the first to appear, and their adoption is imperative for products’ success. Everett Rogers (2003) identified two such groups of consumers: Innovators
and Early Adopters.
The other consumers constitute the large majority, who, marketers believe, will eventually adopt because progress is inevitable, and Innovators will help
them see the value in the innovation. Although recently more attention is given to the majority, we cannot ignore the fact that the voice of Innovators is much more readily available on Internet forums, exhibitions, stores, and even market surveys than that of the majority. This corresponds with an overall pro-change bias by both researchers and practitioners (Ram 1987; Schwarz and Shulman 2007; Sheth 1981).
If we consider early adopters as high on innovativeness, what does that make of the rest? According to the current view, this majority, which includes approximately 80% of the consumer population (Rogers 2003), is currently characterized by what it lacks (innovativeness), rather than what it possesses. Such a characterization hinders a true understanding of these consumers’ attitudes and behaviors and of the diverse reasons they may have for resisting an innovation. From a practical perspective, lacking this understanding, marketers fail to identify potential means that will make adoption easier for these 80%. In fact, a common assumption is that consumers with particularly high levels of resistance should be of little interest to firms given the low revenue they generate. In this book we suggest the contrary, and that rather than focusing on what is absent from most consumers, we would be wise to focus on what is present: Varying degrees of Resistance to Innovation.
Furthermore, using a definition that focuses on what consumers lack is unjustified academically in the same way we do not (or at least should not) aim to prove a null hypothesis. The marketing literature has not established that the majority lacks innovativeness, nor, as the philosophical discussion refers to it, can one prove that an orange crow does not exist. Empirically, one can only prove that which exists. Part I of this book is dedicated to understanding resistance and its sources.
Contrary to popular thought, resistance does not inevitably lead to product failure, just as innovativeness does not inevitably lead to product success. Product failures are only one of several ways in which resistance is manifested. In part II we show that resistance is not an inherently negative concept—just as not all new innovations are inherently beneficial for individuals. In fact, resistance is often manifested for products that ultimately succeed.
One of our aims in this book is to bring together multiple views on resistance to innovation and demonstrate their joint implications. The examples we discuss demonstrate that resistance to innovation is more than the opposite of innovativeness.
It is the outcome of an interplay of personality traits and other, context-specific, factors and mechanisms. Given the combination of factors that influence people’s response to innovation, this response is often complex. People may often be ambivalent about an innovation, both captivated and threatened by it. As we discuss in detail in chapter 2, for example, this is the case for many technological advances that require individuals to relinquish their hard-earned skills in using earlier technologies. Others may simply be misinformed or deterred by the manner in which the innovation is presented.
In contrast to the scant attention the term has received in marketing, the term resistance is widely used in the organizational and management literatures to describe employees’ responses to organizational changes. Based on the conceptual foundations established by Kurt Lewin in social psychology (1935, 1947), Lester Coch and John French conducted in 1948 what was perhaps the first empirical study of resistance to change. Since then, scores of studies in organizational behavior have been devoted to this subject, with an ongoing momentum of studies today. These studies typically seek to explain resistance by exploring its sources. Research in marketing, however, has more typically considered the market consequences, rather than the sources of consumers’ resistance.
Note, however, that whereas the study of resistance to change in organizations is more restrictive than the study of resistance to innovation by the mere fact that the former is limited to organizations and the latter is not, resistance to innovation is a more restrictive phenomenon given that the introduction of an innovation is but one type of change. In this book we integrate insights from these two bodies of literature to provide a more complete depiction of the resistance phenomenon, involving both its sources and consequences.
Throughout the book, we use the term innovation in reference to an idea, practice, or object perceived as new
(Rogers 2003, xx), and define the innovation decision process as the process through which an individual (or other decision-making unit) passes from gaining initial knowledge of an innovation, to forming an attitude toward the innovation, to making a decision to adopt or reject, to implementation of the new idea, and finally to confirmation of this decision
(Rogers 2003, 168). The reasons for, and consequences of, resistance to innovation that we discuss are not tied to a particular form of innovation and rather revolve around the notions of novelty and uncertainty that characterize all innovations. Therefore, although most of the innovations we discuss in the book have to do with technological advances, the insights we provide about resistance to innovation can be readily translated to other forms of innovation, such as other types of products, ideas, or procedures.
Defining Resistance
Merging insights from organizational behavior and marketing requires that we first address how the term resistance is defined in each. In the organizational literature, resistance to change is typically defined as a negative attitude, comprising affective, cognitive, and intentional components (Oreg 2006; Oreg, Vakola, and Armenakis 2011; Piderit 2000). Individuals who resist change may experience anxiety when learning about the change, they may rationally evaluate the change as being bad, and they may explicitly object to the change, speak against it among colleagues (that is, generate negative word of mouth), and make active efforts to prevent it. The same definition has also been used for changes involving the introduction of new technologies in organizations, in which case the anxiety, negative evaluation, and/or active resistance are directed against the new technology, or mode of work. In the organizational behavior literature, resistance is thus defined on the basis of the ultimate reactions to the change, independent of the factors that bring about this reaction.
In contrast, the term resistance to innovation in marketing implicitly alludes to the antecedents of the reaction to the innovation. Resistance in this literature implies that irrational factors are responsible for individuals’ refraining from adopting a worthy innovation. Stated otherwise, refraining from adopting an innovation because the innovation offers little benefit would not be considered an act of resistance by most marketers. In the organizational field, however, negative attitudes toward organizational changes are viewed as resistance even when the reasons for these negative attitudes may seem trivial, as in the case of a change that is perceived as harmful. We believe that this latter, more inclusive, definition has a number of benefits.
First, it clearly distinguishes the ultimate act of rejecting an innovation from the reasons one may have for doing so. This is important because before one can turn to explaining a phenomenon, it should first be clear what it is that one wishes to explain. Second, determining which reasons are rational and which are irrational may become quite messy. Defining resistance through individuals’ reaction toward the innovation leaves this mess outside the definition of the construct and thus provides a more coherent depiction of what resistance is. Related to this point, an unworthy innovation for one individual may be a most valuable innovation for another. Certainly, even utter failures were seen as having utility by those who introduced them and it is only in retrospect that one can more objectively claim that an innovation was truly unworthy, after observing a consensus among consumers who have chosen not to purchase it. And even then, there are cases in which a rejected innovation resurfaces years later, and is then embraced wholeheartedly. Early after launch, however, when understanding resistance may be of most importance, it is too soon to evaluate the perceived utility versus threat of the innovation. It is therefore of value to restrict the definition of resistance to the act of refraining from adoption, and to separately investigate why it is that people resist. Finally, as we unravel in the book, we suggest that even alleged irrational reasons for resisting may ultimately lead to resistance through their impact on the more rational
perceived benefit versus threat. We propose that such perceived benefit versus threat serves as the most proximal predictor of resistance, mediating the effects of more distal, and often inconspicuous, predictors, such as the innovation’s introduction process, or the context in which the innovation is introduced.
The Focus and Structure of the Book
We approach the resistance phenomenon from two main fronts. In the first part of the book we aim to understand its sources. What causes resistance? What are the conditions in which it is most likely to evolve? Or in other words, why and when do individuals resist innovation? Note that we said individuals.
Although what is ultimately of interest to marketers is market resistance, in trying to understand where such market resistance comes from one’s focus necessarily shifts to the individual, because, as we demonstrate in part II of the book, market resistance, in its various forms, begins with the resistance of individuals (see figure 0.1). We therefore begin by considering the factors that lead individuals to resist innovations.
In each of the chapters in part I we focus on a different source of resistance. Much of what we suggest is based on what has been learned about resistance to organizational change. This is because of the much larger pool of studies that have been conducted in the organizational field on resistance to change than that of marketing-based studies on resistance to innovation. As we will discuss, many of the reasons employees have for resisting organizational change can just as well explain why consumers resist innovations. Moreover, many of the changes resisted in organizations involve the introduction of innovations, and are thus directly revealing for our inquiry of resistance to innovation.
Figure 0.1. Antecedents and consequences of resistance to innovation.
The sources of resistance we consider are drawn from Oreg’s and his colleagues’ earlier work on resistance to change (Oreg 2006; Oreg 2003; Oreg, Bartunek, and Lee 2014; Oreg, Vakola, and Armenakis 2011; van Dam, Oreg, and Schyns 2008). Specifically, in Oreg (2006) and Oreg, Vakola, and Armenakis (2011), the literature on resistance to change was reviewed and sources of resistance were classified into categories. Oreg, Vakola, and Armenakis (2011) reviewed sixty years of empirical studies of reactions to change and through an inductive process proposed five resistance antecedent categories, of which we believe four are highly relevant for explaining resistance to innovation. These are individual characteristics, perceived threat, the innovation’s introduction process, and the innovation’s context. More recently, the interrelationships among these antecedents have been conceptually denoted (Oreg, Bartunek, and Lee 2014). Each of the first four chapters of the book is devoted to one of these categories, and in each we describe cases that depict resistance due to the corresponding antecedent category. We review relevant literature in the field of organizational change and draw insights framed for our specific interest in innovations.
By classifying variables that antecede resistance into broad antecedent categories, our model (see figure 0.1) offers a comprehensive yet still relatively parsimonious description of the resistance process. Furthermore, beyond integrating previous findings about resistance antecedents and applying them to the innovation adoption context, we proceed in our model and propose how resistance antecedents may relate to one another vis-à-vis their relationship with individuals’ resistance to innovation. Specifically, in several of the chapters we provide new empirical evidence for the interrelationships among resistance antecedents that have been previously established only theoretically (Oreg, Bartunek, and Lee 2014).
In chapter 1 we discuss the personality factors that have been shown to contribute to consumers’ resistance to innovation. A key factor that explains resistance to innovation lies within the consumer. Consumers differ from one another in their overall orientation toward the adoption of new products. Whereas some are keen to be the first to adopt (a.k.a. dispositional Innovators
), others are predisposed to resist innovations (a.k.a. dispositional Laggards
).
Beyond individuals’ personal inclinations, innovations are often resisted because of what they entail. Adopting the innovation may incur costs, often making resistance not only likely but also rational. As we discuss in chapter 2, this is often the case for innovations in the organizational context, where changes may threaten individuals’ status, expertise, or even job security.
In chapter 3 we consider the manner, or process, in which the innovation is introduced, as an antecedent of resistance. Factors within the innovation process include the amount of information that is provided about an innovation and the extent to which prospective consumers, both within organizations and in the marketplace as a whole, are involved in the development and introduction stages. As we suggest in the chapter, these factors can go a long way in explaining why even innovations that could clearly benefit users are often resisted.
Finally, in chapter 4 we go beyond the content or process of the innovation and focus on the particular context in which innovations are presented. The environment in which an innovation is introduced may also be a crucial factor in influencing adoption, increasing or decreasing resistance. The degree to which prospective adopters have faith in the innovation agent, the inclination to adopt or resist among the people in one’s close environment, and the overall social and cultural environment in which one encounters the innovation are all possible sources of resistance.
In part II we turn to discuss what resistance looks like at the aggregate level and discuss the consequences of resistance for firms and consumers. Resistance can develop in unexpected ways and can spread about in a silent but most consequential manner. As we elaborate in each of the chapters in part II, to evaluate the effect of resistance one needs to adopt a macro perspective and conduct aggregate analyses. The reason is that even if we understand individual-level resistance, the overall market resistance is not necessarily the sum of individuals’ resistances. What makes resistance disseminate is the process through which individuals interact. Our focus in this part of the book is therefore on a variety of effects that resistors have on markets.
Specifically, we examine cases in which innovations did not fail altogether, but have not fulfilled their potential because of, resistance, at least at moderate levels. Cases such as these allow managers and marketers space for maneuvering and turning a potential failure to a success. While complete failures should be analyzed as a means of improving the introduction of future innovations, partial failures leave room for real-time interventions that could improve the ultimate diffusion of the innovation. As we will discuss, even when a thorough analysis is conducted for identifying sources of resistance in advance, some level of resistance is still likely to remain. Managers and marketers should therefore be attentive to the inception of resistance and be prepared to intervene early on if product diffusion is to be maximized. As can be seen on the right side of figure 0.1, our discussion in part II of the book will be of three particular outcomes, or manifestations, of resistance to innovation: the leapfrogging effect, negative word of mouth, and the saddle effect.
In chapter 5 we revisit the lagging phenomenon, which constitutes an extreme form of resistance to innovation and describe how, in some situations, and for some products, individuals who are typically predisposed to being Laggards, may skip product generations and appear as Innovators or Early Adopters on product adoption curves. We then argue that these resistors can be valuable to the firm and generate a considerable income. Contrary to common practice, we therefore argue that firms should devote the time to targeting them. We demonstrate how their adoption can substantially increase the NPV (Net Present Value) of the innovation.
In chapter 6 we explore the market-level nature of resistance and the damage for which resistance is responsible. Namely, we discuss the various mechanisms through which negative word of mouth is disseminated and quantify the cost of resistance for firms.
In chapter 7, we present the Saddle phenomenon. Most innovation markets (either consumer or organizational) are dual markets, including a small (consisting of approximately 16% of the market) group of early adopters and a majority of individuals who exhibit some form of resistance. As we’ll discuss in the chapter, this resistance results in a dual market structure, which often leads to a severe drop in sales (more than 20%), lasting for two to seven years, before recovery.
Taken together, we believe that the conceptual frameworks we present in the book, along with the empirical evidence we offer for them, provide well-needed structure to extant knowledge on the resistance phenomenon in general and resistance to innovation in particular. Although we discuss relevant implications of our arguments throughout the book, we do not provide explicit recipes for how to deal with resistance. Our interest is on highlighting and analyzing the various mechanisms that explain resistance and its manifestations. Furthermore, the complexity and multifaceted nature of resistance precludes any simple recommendation that could be generalizable across cases. We do, however, link our arguments to specific examples and cases as a first step in bridging theory