Analyzing app-based food information services: the case of Olive Oil sector

2019 ◽  
Vol 50 (3) ◽  
pp. 427-453
Author(s):  
Alberto Michele Felicetti ◽  
Antonio Palmiro Volpentesta ◽  
Salvatore Ammirato
Keyword(s):  
Olive Oil ◽  
Mobile Apps ◽  
Information Provision ◽  
Mobile App ◽  
Information Services ◽  
Multidimensional Analysis ◽  
Knowledge Gap ◽  
Content Type ◽  
Oil Sector ◽  
The Impact

Purpose The provision of information about food to consumers is well recognized to be problematic and complex. Novel approaches tend to adopt app-based services as a way for consumers to get better food information. Potentially, these services could provide relevant information to consumers because they could address particular needs by leveraging on context-awareness, ubiquity and pervasiveness. Do current app-based services actualize these potentialities? The purpose of this paper is twofold: to propose a methodological approach that can be easily adapted to conduct reviews of app-based services and provide consumers with information about food and to answer this question on a specified food information domain (namely, olive oil). Design/methodology/approach A literature review was performed to investigate characteristics of food information services under a consumer’s value perspective. Then, a qualitative framework was built, which allowed a multidimensional analysis of the food information provided by a service through a mobile app. Moreover, an application of that framework on “olive oil” mobile apps was carried out, with the twofold objective of providing an example of application of the proposed framework in a real context and analyzing the role of mobile apps in reducing consumers’ information and knowledge gap in this particular domain. The review covers commercial applications on “olive oil,” available on the Apple App Store and Google Play Store. Findings A framework of multidimensional analysis of the two-way information flow in the interaction between a consumer/user and a food app-based service is proposed. The framework represents a useful tool to analyze the offer of mobile-based services in a given sector. The framework is then applied to perform a situation analysis of app-based services in the olive oil market. The analysis highlights that olive oil information providers do not seem to fully exploit recent advances in “Internet of food” technologies. Hence, results from our survey suggest some direction to conceive and develop innovative mobile olive oil apps that better exploit mobiquitous technology features. Practical implications Consumers perceive a growing need of information about food. This need is mainly due to recent cases of adulterations, allegations of fraud and subterfuges that have invested food sector (in particular, olive oil sector). This research provides a useful framework to analyze some aspects of management of food information provision through mobile apps. Such a framework represents a practical tool that provides fruitful insights for the design of a new generation of food-app based services within the so-called “internet of food” domain. Originality/value Although there are countless mobile apps aimed to assist consumers with their everyday food practices, little research has been devoted to investigate the impact of mobiquitous technologies on the management of food information provision to consumers. The available research lacks in defining an approach capable to analyze the relevance of information provided to targeted audiences by mobile food apps. This paper tries to fill this knowledge gap by proposing a framework that is based on a characterization of food information flows in terms of categorization, source and service features.

Using UTAUT 2 model to predict mobile app based shopping: evidences from India

2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar
Keyword(s):  
Behavioral Intention ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile App ◽  
Content Type ◽  
Use Of Technology ◽  
Usage Behavior ◽  
Managerial Implications ◽  
Facilitating Conditions ◽  
The Impact

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.

Translating consumer’s olive-oil quality-attribute requirements into optimal olive-growing practices

2017 ◽  
Vol 119 (1) ◽  
pp. 190-214 ◽  
Author(s):  
Samir Sayadi ◽  
Yamna Erraach ◽  
Carlos Parra-López
Keyword(s):  
Olive Oil ◽  
Oil Quality ◽  
Informed Choice ◽  
Consumer Preference ◽  
Quality Attributes ◽  
Farming Practices ◽  
Content Type ◽  
Olive Oil Quality ◽  
Oil Sector ◽  
The Impact

Purpose The purpose of this paper is to translate consumer requirements regarding olive-oil quality attributes into specific olive-growing practices that most contribute to satisfy these attributes. Design/methodology/approach After identifying consumer requirements or needs regarding different attributes of olive-oil quality, through a survey of 439 olive-oil consumers, the authors determine the olive-growing practices that optimally satisfy consumer needs through expert opinions. Finally, the use of expert knowledge to construct the House of Quality or the first matrix of quality function deployment allow the authors to define the relative contribution of the various olive-farming practices to the satisfaction of consumer requirements. Findings The findings have shown that the olive-oil quality attributes most requested by consumers incorporate organoleptic (e.g. acidity, flavour, colour), sociocultural (e.g. creating employment in rural areas, maintenance of the rural population) and environmental ones (environmental externalities). The “separation of olives collected from ground and trees” (separation), “timing of harvesting” (according to a fruit-ripeness index), the “method of the ground harvest” (no picking from the ground), and the “method of tree harvest” (handpicking) were some of the most commonly identified olive-farming practices that contribute the most to meeting consumers’ needs with regard to olive-oil quality. Research limitations/implications The study suggests detailed analyses of the relationships between customer requirements and other agents practices involved in the olive sector (processing industries: mills, distribution, and marketing management, etc.) to more fully investigate the impact of all these practices on consumers’ perceived olive-oil quality attributes. This is the most reliable way to guarantee that the most sought-after quality characteristics are taken into account, not only in the farming stage but also in the various different stages of the olive agri-food chain. Practical implications Findings represent an opportunity in the market value chain to develop a quality olive oil which is more oriented towards the consumer and able to face future segmentations in the market. This is one of the main innovative features of this study, as it offers “good practice” guidelines to agents of the olive-oil sector from the consumer perspective. Social implications This study provides positive implications to consumers, providing them important tools to make an informed choice, and producers and marketers helping the design of production strategies to optimally satisfy the consumer preference with regard to olive-oil quality, and attain a competitive advantage by adding value to the product. Originality/value This paper is regarded as the pioneer in the literature translating the “consumer voice” regarding olive-oil quality into specific olive-growing practices “good-practices guidelines”. Thus, the relevant required quality olive-oil attributes should be clearly described on the label, to enable consumers to identify the quality features and make an informed choice. Furthermore, to meet consumers’ needs, the olive-oil sector should focus on the olive-growing practices that optimally satisfy consumer requirements concerning olive-oil quality attributes. This would help to improve legitimacy and boost public support for the Common Agricultural Policy subsidies for the agricultural sector in general, and the olive sector in particular. The findings are particularly valuable in helping policy makers to design marketing strategies to improve the sustainability and competitiveness of Spanish olive oil.

Users' affect and satisfaction in a privacy calculus context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad S. Najjar ◽  
Laila Dahabiyeh ◽  
Raed Salah Algharabat
Keyword(s):  
Mobile Device ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Mobile App ◽  
Perceived Benefits ◽  
Content Type ◽  
Perceived Risks ◽  
Privacy Calculus ◽  
The Impact

PurposeMobile device users are frequently faced with a decision to allow access to their personal information that resides on their devices in order to install mobile applications (apps) and use their features. This paper examines the impact of satisfaction on the intention to allow access to personal information. The paper achieves this by acknowledging the affective and cognitive components of satisfaction derived from affect heuristic and privacy calculus theories, respectively.Design/methodology/approachSurvey data was collected from mobile device users who download and install mobile apps on their devices. Overall, 489 responses were collected and analyzed using LISREL 8.80.FindingsThe findings suggest that personal information disclosure decision is mainly a matter of being satisfied with the mobile app or not. We show that perceived benefits are more critical than perceived risks in determining satisfaction, and that perceived benefits influence intention to allow access to personal information indirectly through satisfaction.Originality/valueThis study offers a more nuanced analysis of the influence of satisfaction by examining the role of its two components: the cognitive (represented in perceived benefits and perceived risks) and the affective (represented in affect). We show that information disclosure decision is a complicated process that combines both rational and emotional elements.

Usability study of the mobile library App: an example from Chongqing University

2015 ◽  
Vol 33 (3) ◽  
pp. 340-355 ◽  
Author(s):  
Qunyi Wei ◽  
Zhaoxin Chang ◽  
Qin Cheng
Keyword(s):  
User Experience ◽  
User Satisfaction ◽  
Design Methodology ◽  
Mobile Apps ◽  
Mobile App ◽  
Information Services ◽  
Usability Study ◽  
Content Type ◽  
Post Test ◽  
Effectiveness And Efficiency

Purpose – The purpose of this paper is to determine the usability of the mobile library App of Chongqing University and to provide recommendations for improving the experience of App users. Design/methodology/approach – Usability testing, which comprised pre-test questionnaires, accomplishing tasks, and post-test surveys, was conducted in this study. The effectiveness and efficiency of the App, as well as user satisfaction with it, were measured. Findings – The mobile App was proven effective but the efficiency of the App required improvement. With regard to user satisfaction, the factors “clarity” and “usefulness” received the lowest and highest scores, respectively. The descriptions of mobile services were unclear and confused users; nonetheless, the services provided by this App were appealing and useful to the users. Based on the measured user experience, this study proposed several recommendations for enhancing the usability of the App. Originality/value – An increasing number of domestic and foreign libraries have begun to use mobile Apps to provide new services to patrons. In the future, smartphones are likely to become crucial to the delivery of information services. Given the extensive use of the Super Star Mobile Library system adopted by Chongqing University Library in China, the usability of such a system must be investigated. Improving the usability of the mobile library App can help enhance user experience.

scholarly journals Revisiting customer loyalty toward mobile e-commerce in the hospitality industry: does brand viscosity matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jialin Snow Wu ◽  
Shun Ye ◽  
Chen Jerry Zheng ◽  
Rob Law
Keyword(s):  
Online Survey ◽  
Brand Management ◽  
Switching Costs ◽  
Mobile App ◽  
Integrative Model ◽  
Equation Modeling ◽  
Content Type ◽  
Affective Factors ◽  
Positive Effects ◽  
The Impact

Purpose To better understand how to retain hospitality customers in the fierce competition among mobile applications, this study aims to propose and empirically validates an integrative framework, which elaborates how conscious and subconscious factors, together with affective factors, may induce app loyalty and how brand viscosity moderates such effects. Design/methodology/approach The authors conducted an online survey to collect data and received a total of 268 valid responses. This study splits the data into two groups (brand viscosity vs non-viscosity). Then, the authors performed a multi-group structural equation modeling with Chi-square difference tests to compare the model between the two groups. Findings The findings support the integrative model and reveal that the influence of app satisfaction on loyalty is stronger for app users who do not stick to one brand across the website and mobile app channels. Moreover, for those with brand viscosity, habit and switching cost are two significant determinants that exert positive effects in inducing app loyalty. Research limitations/implications Brand viscosity across different channels matters for the effects of habit and switching costs in shaping app loyalty. E-commerce managers should elaborate on brand management among various booking channels and establish effective digital marketing strategies to facilitate the formation of usage habits and switching costs and to enhance brand viscosity across channels. Originality/value This research advances the knowledge of app loyalty in hospitality by providing a comprehensive explanatory framework from affective, conscious and subconscious lenses. This research is among the first to unveil the impact of brand viscosity on the links between loyalty and its determinants.

An automated mobile app labeling framework based on primary motivations for smartphone use

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anteneh Ayanso ◽  
Mingshan Han ◽  
Morteza Zihayat
Keyword(s):  
Classification Scheme ◽  
Mobile Apps ◽  
Mobile App ◽  
Machine Learning Algorithms ◽  
User Needs ◽  
Context Information ◽  
Web Based ◽  
Content Type ◽  
Classification Framework ◽  
Textual Data

Purpose This paper aims to propose an automated mobile app labeling framework based on a novel app classification scheme that is aligned with users’ primary motivations for using smartphones. The study addresses the gaps in incorporating the needs of users and other context information in app classification as well as recommendation systems. Design/methodology/approach Based on a corpus of mobile app descriptions collected from Google Play store, this study applies extensive text analytics and topic modeling procedures to profile mobile apps within the categories of the classification scheme. Sufficient number of representative and labeled app descriptions are then used to train a classifier using machine learning algorithms, such as rule-based, decision tree and artificial neural network. Findings Experimental results of the classifiers show high accuracy in automatically labeling new apps based on their descriptions. The accuracy of the classification results suggests a feasible direction in facilitating app searching and retrieval in different Web-based usage environments. Research limitations/implications As a common challenge in textual data projects, the problem of data size and data quality issues exists throughout the multiple phases of experiments. Future research will extend the data collection scope in many aspects to address the issues that constrained the current experiments. Practical implications These empirical experiments demonstrate the feasibility of textual data analysis in profiling apps and user context information. This study also benefits app developers by improving app descriptions through a better understanding of user needs and context information. Finally, the classification framework can also guide practitioners in customizing products and services beyond mobile apps where context information and user needs play an important role. Social implications Given the widespread usage and applications of smartphones today, the proposed app classification framework will have broader implications to different Web-based application environments. Originality/value While there have been other classification approaches in the literature, to the best of the authors’ knowledge, this framework is the first study on building an automated app labeling framework based on primary motivations of smartphone usage.

Impact of organic and “protected designation of origin” labels in the perception of olive oil sensory quality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sara Spognardi ◽  
Domenico Vistocco ◽  
Lucio Cappelli ◽  
Patrizia Papetti
Keyword(s):  
Olive Oil ◽  
Purchase Intention ◽  
Virgin Olive Oil ◽  
Blind Test ◽  
Physical Point ◽  
Content Type ◽  
Organic Certification ◽  
Olive Oils ◽  
Protected Designation Of Origin ◽  
The Impact

PurposeInvestigate the behaviour and the habits of the consumers from central-southern Italy in relation to extra olive oil consumption, focussing on the impact of protected designation of origin (PDO) and EU–organic certification on purchase intention and quality perception.Design/methodology/approachA specific questionnaire was submitted to 160 consumers; a subsample of ten experts, ten semi-experts and ten habitual consumers of olive oil tested, through a blind test first and a normal one then, three Italian samples: an extra-virgin olive oil (EVOO) without certification, an organic EVOO and a PDO EVOO, which were characterised also from a chemical-physical point of view. The answers provided during the tastings were statistically analysed and compared.FindingsPeople interviewed prefer local olive oils; they are positively influenced by PDO/organic certification, while price is not a decisive factor on the purchasing choices. According to tasting panel results: experts gave consistent answers preferring organic olive oil, semi-experts are positively influenced by the PDO brand contrary to what they claimed; non-experts would buy EVOO, although they are positively influenced by the PDO brand and negatively by the organic certification.Practical implicationsOnly knowledge and experience can aid consumers make consistent and aware choices. Information campaigns could help them to distinguish products, correctly identify food attributes and overcome their scepticism towards quality of organic products.Originality/valueFew works investigated the impact of quality and sustainability labelling on perception of olive oils, valuing the consistency between answers provided before and after sensory assessments.

Impacts of consumers’ perceived risks in eco-design packaging on food wastage behaviors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tian Zeng
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Knowledge Gap ◽  
Content Type ◽  
Perceived Risks ◽  
Health Consciousness ◽  
The Impact ◽  
Practical Implications ◽  
Food Wastage

PurposePackaging links products to consumers by delivering messages to promote healthy food consumption and reduce wastage. However, studies point to a knowledge gap and skepticism among consumers regarding the impact of eco-design packaging on food wastage reduction. To demystify this skepticism and fill the knowledge gap, this study aims to examine consumers’ perceived risks in eco-design packaging and their impact on consumer food wastage.Design/methodology/approachA survey was conducted to identify consumer-perceived risks in eco-design packaging and explain whether, and why, some dimensions of perceived risk are more influential on consumer food wastage decisions.FindingsConsumers are prevented by financial, physical, functional, temporal and social factors from adopting eco-design packaging. Through structural equation modeling, we find consumer perceived risks in eco-design packaging influence their food wastage decisions through health consciousness and environmental awareness.Practical implicationsThis study provides practical suggestions for packaging manufacturers, the food industry and policymakers.Originality/valueDrawing on the perceived risk theory, this research highlights that the impacts of consumer-perceived risks differ, depending on the dimensions considered in their food wastage decision.

Alignment patterns for process-oriented appraisals and rewards: using HRM for BPM capability building

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aygun Shafagatova ◽  
Amy Van Looy
Keyword(s):  
Case Studies ◽  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Multidimensional Analysis ◽  
Content Type ◽  
Process Oriented ◽  
Process Context ◽  
The Impact ◽  
Employee Appraisals

PurposeWhile the business process management (BPM) literature highlights the significance of aligning employee appraisals and rewards practices with business processes, little is known about the realization. The purpose of this paper is to concretize the impact of process-oriented appraisals and rewards on business process performance and to provide empirical evidence on how organizations actually align their appraisals and rewards practices with BPM.Design/methodology/approachA mixed-method approach has been employed by combining survey results with case studies to offer first-hand evidence. Survey data have been used to quantify the real impact of process-oriented appraisals and rewards. Next, case studies with 10 organizations have allowed us to gain deeper insight into organizational practices for making appraisals and rewards more process-oriented.FindingsThe survey proves that process-oriented employee appraisals and rewards positively affect performance if different employee levels are involved. The case studies reveal similarities and differences in alignment efforts across organizations, based on pattern-matching and a multidimensional analysis, resulting in four alignment patterns.Research limitations/implicationsThe findings extend knowledge about appraisals and rewards within a business process context by providing a quantification and pattern refinement, which specifically advance a BPM-facilitating culture.Practical implicationsManagers and executives benefit from the recommendations for a gradual BPM adoption to improve the success of their business processes and their people-related practices.Originality/valueThe authors offer one of the first in-depth, cross-disciplinary studies that intend to bridge between the disciplines of BPM and human resource management (HRM).

The moderating role of customer engagement experiences in customer satisfaction–loyalty relationship

2019 ◽  
Vol 53 (7) ◽  
pp. 1278-1310 ◽  
Author(s):  
Rakhi Thakur
Keyword(s):  
Mobile Apps ◽  
Business Environment ◽  
Mobile App ◽  
Customer Engagement ◽  
Content Type ◽  
Digital Platforms ◽  
Quantitative Studies ◽  
Non Linear ◽  
Moderating Role

Purpose This study aims to examine the moderating role of customer engagement experiences in satisfaction–loyalty relationship in the digital business environment. This paper looks at mobile apps for shopping and travel planning to understand these relationships. Design/methodology/approach This paper includes the conceptualization and validation of the proposed relationship through multiple studies. An exploratory qualitative study was conducted to identify the relevant engagement experiences. Subsequently, multiple quantitative studies were conducted to examine the proposed relationships. Findings The effect of satisfaction on continuance intention is stronger among customers with higher levels of engagement. Further, the propensity to provide electronic word of mouth is non-linear in customers with higher levels of engagement and may not vary directly with satisfaction levels. Research limitations/implications The findings of this study contribute to the emerging literature on customer engagement and mobile app-usage domains. Future studies may examine such a relationship in different businesses and on varied digital platforms. Practical implications The findings of this paper may provide actionable insights to marketers, giving them a mechanism to segment customers based on engagement levels and using discretion while focusing on satisfaction levels among different segments. Originality/value This study validates the proposed moderating role of customer engagement in the satisfaction–loyalty relationship. The non-linear relationship between satisfaction and loyalty is also demonstrated.

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