The digital era is changing consistently the previous marketing scenarios and actual issues have to be addressed in order to close the capabilities gap created by digital innovations. Different authors call for theoretical and empirical contributions that cope with the issues brought out by the digitalization of marketing channels and the consequent ever increasing volume of digital data. This study develops a theoretical framework and propositions through a reframing and reconceptualization of previous theoretical constructs from managerial and marketing literature. The resulting model offers insights about organizational processes and capabilities needed to cope with the actual fast changing, but at the same time, data-rich environment
6 April 2022 in Technological Forecasting and Social Change
Purpose: The debate over intuitive vs analytical decision-making styles began almost 40 years ago and had yet to deliver definite answers. The debate – however – has led to divergent theoretical stances and empirical results. The purpose of this paper is to investigate the role of these information processing styles in customer-related decision-making in the context of mobile technologies.Design/methodology/approach: The hypotheses are derived from the contrasting theoretical propositions and empirical evidence present in the debate around decision-making styles. The study also introduces and investigates the moderating role of environmental dynamism (ED). Analyses and results are based on survey research that involves 251 managers with responsibility for organizational decision-making processes.Findings: The study’s findings suggest that both intuitive and analytical styles are relevant in the actual context characterized by mobile technologies. Intuition still plays a central role in managers’ decision-making processes, but when the industry environment is highly dynamic analytical information processing also plays an essential role in supporting organizational responsiveness and performance.Practical implications: This study can help managers in reconsidering the way in which they employ analytical or intuitive information processing activities inside their decision making at different levels of ED.Originality/value: The novelty of this paper relies on testing hypothesis simultaneously developed by both the theoretical stances favorable to intuitive and to analytical information processing. Besides, it tests these hypotheses in the actual empirical context characterized by a transformed scenario in terms of data availability.
18 May 2024 in Business Strategy and the Environment
This paper aims at exploring the impact of green food on consumers’ purchase attitudes toward a hotel stay and on consumers’ behavioral intentions (i.e., intention to visit the hotel, intention to offer positive recommendations to others and willingness to pay a premium price), focusing on an Italian perspective where the food is a worldwide famous cultural element. This research employed a survey sent out by email to a database of contacts provided by an Italian company that operates in tourism. Data collection was completed in four weeks and the initial dataset counted 3586 of target respondents. A total of 302 surveys were completed and the data were analyzed through structural equation modeling (SEM). Firstly, an exploratory factor analysis (EFA) was performed, followed by a confirmatory factor analysis (CFA) that leads to the estimation of the structural model. The results show that personal beliefs toward green food are positively associated with respondents’ purchase attitudes toward green food. Moreover, stronger purchase attitudes toward green food lead to more favorable purchase attitudes toward hotels that offer green food, further substantiating the investigation about whether or not consumers’ attitudes employ similar concerns on sustainability for their daily purchases as well as for vacation products and services. In turn, the latter purchase attitudes are positively associated with individual behavioral intentions toward hotels that offer green food.