Technological uncertainty and technological complexity are the two dominant characteristics of new product development (NPD) projects that have a negative influence on NPD…
Abstract
Purpose
Technological uncertainty and technological complexity are the two dominant characteristics of new product development (NPD) projects that have a negative influence on NPD performance, relying on a strong theoretical argumentation based on organizational information processing theory. The purpose of this study is the development of reliable and valid scales for the measurement of technological uncertainty and technological complexity, especially in the context of the discontinuous technological change of digitization.
Design/methodology/approach
This study uses material from 44 in-depth interviews, which has been transferred into a questionnaire, and survey data from 166 respondents from the German automotive industry in charge of the development and production of electric and electronic technologies (including software). In this context, exploratory and confirmatory factor analyses are used to test the developed scales for reliability and validity.
Findings
In this context, it can be stated that the developed scales affirm reliability and validity sufficiently. Interestingly, novelty, regarded as key item for measuring technological uncertainty, has to be dropped, as the factor loadings are under the cut-off of 0.40. Moreover, resulting items for measuring technological uncertainty and technological complexity do not deviate significantly from those discussed in previous study before the discontinuous technological change of digitization occurred.
Originality/value
This paper provides value for the discussion on how to measure technological uncertainty and technological complexity, especially in times of radical technological changes.
Details
Keywords
Technological uncertainty and technological complexity are key characteristics of new product development (NPD) projects that impose significant information processing…
Abstract
Purpose
Technological uncertainty and technological complexity are key characteristics of new product development (NPD) projects that impose significant information processing requirements on organizations. This paper examines the direct influence of technological uncertainty and technological complexity as well as the indirect influence of work experience on organizational information processing capabilities.
Design/methodology/approach
The author used a sample of 166 respondents from the German automotive industry and applied linear hierarchical regression analysis.
Findings
The results confirm a negative influence of technological uncertainty and technological complexity on organizational information processing capability. This research also supports a moderating influence of work experience on these relationships.
Originality/value
This research helps to understand the relationship between technological uncertainty, technological complexity and OIPC. It represents a first and different approach to measure these constructs for further empirical studies and provides interesting managerial implications.
Details
Keywords
Auqib Rasool Dar and Maleeha Gul
This study, a systematic literature review, aims to review the state-of-the-art literature on choice overload from 2000 to 2023.
Abstract
Purpose
This study, a systematic literature review, aims to review the state-of-the-art literature on choice overload from 2000 to 2023.
Design/methodology/approach
The paper reviews 53 research articles published in peer-reviewed journals, using thematic and descriptive analyses. The literature was selected using the PRISMA framework.
Findings
Recent research in consumer behaviour has found that too many choices can be detrimental to decision-making. This paper reviews the development of choice overload literature, methodologies used by researchers to study choice overload, small and large choice sets, antecedents, moderators and outcomes of choice overload and the contexts in which choice overload exists.
Research limitations/implications
Limited literature coverage because of the strict adherence to inclusion/exclusion criteria. The theory challenges the conventional choice models in psychology and economics according to which expanding a choice set cannot make decision-making worse and violates the regularity axiom, a cornerstone of classical choice theory. This review also identifies avenues for further research in the field.
Practical implications
A significant decrease in satisfaction or motivation because of too many choices would require marketers and public policymakers to rethink their practice of providing ever-increasing assortments to choose from because they could possibly boost their success by offering less.
Originality/value
This systematic review makes distinctive contributions by classifying the existing studies based on evidence “for” and “against” the existence of choice overload. The review also combines cross-context insights on assortment sizes, moderators and methodological commonalities and gaps to understand the multi-faceted nature and contextual nuances of choice overload.