Mobile diaries – Benchmark against metered measurements: An empirical investigation

Researchers seeking to study the relationships between consumers' communications, attitudes, and behaviors could benefit from monitoring consumers over time, across multiple locations and channels, and in a way that reflects consumers' subjective perceptions. Diaries on smartphones (mobile diaries) can be used as a research tool for such purposes. A mobile diary is a self-report instrument whereby people use their mobile handset to repeatedly report experiences of interest. Mobile diaries are increasingly used in psychology, geography, medicine, and commercial marketing. Yet they have rarely been used for quantitative marketing research, and were not benchmarked against best-practice metrics in marketing.In this study, we aim to set the ground for using mobile diaries in quantitative marketing research. We first lay out the theoretical infrastructure for the usage of mobile diaries, and describe possible respondent reporting concerns, including concerns related to non-reporting, reporting over time, and concerns stemming from individual-level heterogeneity.We demonstrate the potential of mobile diaries, as well as the importance of the various concerns, using a benchmark test case in the context of primetime TV viewing. Our benchmark uses a sample of respondents with both mobile diary viewing reports and Nielsen People Meter (NPM) records. Our analysis reveals that averaging across all conditions, 47.4%–64.7% of the NPM records are reported by the diary. The major sources for mismatch are random time periods without alarms, short viewings, and periodic reporting inactivity (pulsing). Concerns such as a decrease in reporting rates over time (e.g., fatigue), smartphone ownership, and demographic variation across individuals have relatively small effects on reporting likelihood. Analyzing the cases in which diary reports do not have a matching NPM record, we find many of them can be attributed to out-of-home viewing and viewing on non-metered devices. This finding demonstrates how mobile diaries can complement metered measurements. Overall, aggregate diary-based ratings have a 0.90 correlation with NPM ratings.We discuss implications for designing and using mobile diary studies in marketing.     

Calculating,creating, and claiming value in business markets: Status and research agenda

A key challenge facing business marketers surrounds developing a deeper understanding of customer needs. We conceptualize that challenge as having three dimensions: calculating, creating, and claiming value. We discuss key problems, new developments and research challenges in each of these three domains and note the desirability for a deeper collaboration between academics and practitioners to address the research challenges.     

A systematic mapping study of process mining

This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.     

The Survival of Unique Corporate Cultures

In this paper we identify two situations that can lead a firm to hire an executive who supports a corporate culture that differs from the firm's current culture. In the first case, there is a similarity between the firm's culture and that of the candidate, and in the second case, executives who support the firm's culture constitute a minority of the available candidates. In both cases the firm prefers to hire an available candidate, rather than risk a prolonged vacancy. We show how these scenarios can lead to the eradication of unique cultures and to the perpetuation of more common cultures. Copyright © 2016 John Wiley & Sons, Ltd.     

Correction to: Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth

Quantitative Marketing and Economics - The table below should replace Table 1.     

Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth

Quantitative Marketing and Economics - Paid media expenditures could potentially increase earned media exposures such as social media posts and other word-of-mouth (WOM). However, academic research...     

The role of seeding in multi-market entry

Firms introducing new products into multi-markets often face the dilemma of how to dynamically allocate their marketing resources during penetration. The aim of this study is to examine which responsive allocation strategy is more effective for these firms. We explore three major resource allocation strategies: uniform strategy, in which the firm distributes the marketing efforts evenly among its regions regardless of market development; support-the-strong strategy, under which the firm invests its efforts proportional to the number of adopters in that region (at least up to a certain market coverage); and support-the-weak strategy, in which the firm invests its efforts proportional to the remaining market potential.Using both formal analysis and complex systems simulations, we find that strategies that disperse marketing efforts, such as support-the-weak and uniform strategies, are generally superior to support-the-strong strategy. Not only is this finding surprisingly robust to market conditions and variations on these strategies, but it also runs counter to conventional wisdom prevailing in international marketing. The conditions under which support-the-strong policy might become more effective include: (a) fixed entry or operation costs above a certain level; and (b) substantial variance between regions in responsiveness to marketing efforts. However, variance in intrinsic innovativeness between regions does not imply the superiority of support-the-strong strategy.     

The effect of social networks structure on innovation performance: A review and directions for research

Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.Overall, we find that growth is particularly effective in networks that demonstrate the “3 Cs”: cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research.     

Does new product growth accelerate across technology generations?

The academic literature on the growth acceleration of new products presents a paradox. On the one hand, the diffusion literature concludes that more recently introduced products show faster diffusion than older ones. On the other hand, technology generation literature argues that growth rate, at least as measured by diffusion parameters, remains constant across generations. We resolve this apparent paradox by testing whether growth acceleration occurs across technology generations while controlling for the passing of time. We check acceleration across 39 distinct technology generations in 12 product markets. The results show that intergeneration acceleration occurs in time to takeoff but not with respect to diffusion parameters (i.e., p and q). We show that takeoff acceleration is mostly driven by technology vintage (i.e., the passage of time) rather than generational shifts. Thus, time is a factor that accelerates early growth, but generational shifts do not. This result also holds when controlling for the effects of market vintage when the market is either business-to-business or business-to-consumer as well as when the technology is process- or product-based.