Rethinking flow: qualitative insights from Mexican cross-border shopping

The purpose of our study is twofold: (1) to conceptualize the flow construct in the offline retail environment not only as a psychological phenomenon but also as a sociocultural phenomenon by exploring related cultural variables and (2) to adopt a qualitative approach as a means to provide broader coverage of the likely factors associated with flow. We follow a grounded theory approach to formulate a conceptual model about the phenomenon of interest. Data collection includes semistructured in-depth interviews and a focus group. For data interpretation, we applied semiotic and narrative textual analyses. We propose a model of the antecedents leading to flow experience in the offline retail environment, introducing macro (sociocultural) factors and advancing micro (psychological) factors. Key elements of flow require a more refined definition in the offline retail environment. Several macro (cultural) attributes that influence Mexican shoppers' propensity to experience flow while either just browsing or fulfilling their shopping goals were identified. Retailers' efforts should be directed to providing opportunities for flow experience by articulating the right communication strategies. Qualitative methods uncovered a unique perspective exploring sociocultural characteristics and redefining individual characteristics of the offline retail shopping experience.     

Managing conflicting goals in pig farming: farmers' strategies and perspectives on sustainable pig farming in Sweden

Industrial meat production has several negative environmental effects. Governments’ agricultural policies aim for cost efficiency combined with high environmental and animal welfare, which puts farmers in a difficult situation trying to navigate between sometimes contradictory requirements. This paper studies how Swedish pig farmers resolve or cope with conflicting goals in pig farming. We have analysed the regulations governing EU and Swedish pig farming. We have also interviewed five Swedish pig farmers about their views of the different goals of pig farming and strategies for resolving conflicts between the goals of low environmental impact, high animal welfare and enough profitability to continue farming. The greatest divide was between the conventional farmers, who emphasized natural resource efficiency, and the organic farmers who stressed animal welfare, multifunctionality and ecosystem service delivery. We suggest four strategies to contribute to resolving some of the conflicting goals: improve communication about different types of pig farming; use public procurement as a driver towards more sustainable pork production; work towards improving the Common Agricultural Policy, perhaps by implementing payments for ecosystem services or multifunctionality; and finally, decrease the total production of pork to lower the emissions per land unit.     

Developing a core competency model of innovative culinary development

This research investigates core competencies of innovative culinary development (ICD) by deep interviews, Delphi and Analytic Network Process (ANP). Stage I of this research employs a Delphi study that involves 16 participants to provide initial innovative culinary competencies based on 20 interviews of executive chefs, R&D managers and culinary artists. After gaining the consensus from the experts, dimensions and items of competencies are identified during Stage II. Also, ANP is adopted to determine the relative weights among the competency criteria and emphasize the interdependent relationships, thus increasing the accuracy of the results.     

Fortune 500 manufacturer web sites: Innovative marketing strategies or cyberbrochures?

Forecasts for business-to-business electronic commerce over the next few years are in the trillions. Manufacturers represent a significant portion of business-to-business activity and their web sites an integral component of business-to-business electronic commerce. Should they choose to, manufacturers can use their web sites not only to conduct electronic commerce but also to engage in a wide range of marketing communications. Marketing communication activities include advertising, sales promotion, public relations, and direct marketing. The results of our content analysis of 188 Fortune 500 manufacturer web sites indicated that few manufacturers use a broad range of marketing communications activities. Analysis of differences in the use of marketing communications on web sites suggests that some aspects of web site marketing communications differ based on manufacturer characteristics such as sales, R&D to sales ratio, and net income.     

Harmonization of product information for child-care products

Abstract

This paper gives an overview of the prenormative research that has been conducted to achieve harmonization of product information for child-care products. This research supports the work of a project group of the European Committee for Standardization (CEN/TC 252/WG 6/PG 5). The project group is preparing a chapter on product information requirements for a CEN report on the safety of children's products. In the first study, the product information currently provided with child-care products was studied. In the second study, the following was drawn up: two lists of requirements, one for the legibility and one for the understandability of product information, a warning grammar, and a basic set of explicit warnings against the most frequent and severe hazards. In the third study, the effectiveness of explicit warnings for child-care products was investigated. The results of this study indicate that people perceive products with explicit warnings as more hazardous and the possible injuries in case of an accident as more severe. In a fourth study, warning symbols were designed for a number of warnings of the basic set. Future research will focus on testing the combination of warnings and symbols for child-care products for com-prehensibility in a number of European countries.     

Time-varying combinations of predictive densities using nonlinear filtering

We propose a Bayesian combination approach for multivariate predictive densities which relies upon a distributional state space representation of the combination weights. Several specifications of multivariate time-varying weights are introduced with a particular focus on weight dynamics driven by the past performance of the predictive densities and the use of learning mechanisms. In the proposed approach the model set can be incomplete, meaning that all models can be individually misspecified. A Sequential Monte Carlo method is proposed to approximate the filtering and predictive densities. The combination approach is assessed using statistical and utility-based performance measures for evaluating density forecasts of simulated data, US macroeconomic time series and surveys of stock market prices. Simulation results indicate that, for a set of linear autoregressive models, the combination strategy is successful in selecting, with probability close to one, the true model when the model set is complete and it is able to detect parameter instability when the model set includes the true model that has generated subsamples of data. Also, substantial uncertainty appears in the weights when predictors are similar; residual uncertainty reduces when the model set is complete; and learning reduces this uncertainty. For the macro series we find that incompleteness of the models is relatively large in the 1970’s, the beginning of the 1980’s and during the recent financial crisis, and lower during the Great Moderation; the predicted probabilities of recession accurately compare with the NBER business cycle dating; model weights have substantial uncertainty attached. With respect to returns of the S&P 500 series, we find that an investment strategy using a combination of predictions from professional forecasters and from a white noise model puts more weight on the white noise model in the beginning of the 1990’s and switches to giving more weight to the professional forecasts over time. Information on the complete predictive distribution and not just on some moments turns out to be very important, above all during turbulent times such as the recent financial crisis. More generally, the proposed distributional state space representation offers great flexibility in combining densities.     

Is social protection a necessity or a luxury good? New multivariate cointegration panel data results

The aim of this paper is to test the claim that social protection is a luxury good. Therefore, GDP elasticity of selected social protection expenditure is estimated using a new econometric approach developed first by Kao and Chiang (Advances in Econometrics, 15, 179–222, 2000). Time series properties of selected social expenditure in 18 OECD countries from 1981 to 1998 are examined. Using panel data cointegration tests and OLS, FMOLS and DOLS estimators, results were found which differ from previous analyses reporting substantially higher income elasticities. With the FMOLS, selected social expenditure has income elasticities smaller than one but greater than one with the DOLS. It is noteworthy that whether selected social expenditure is stationary or nonstationary may have critical implications for researchers and policy makers desiring to model and explain the impact of this expenditure on a country economic system.     

Development and validation of the Remote Working Benefits & Disadvantages scale

The changes that are constantly occurring in the labour sector have led organisations and companies to move towards digital transformation. This process was accelerated by the COVID-19 pandemic and  conducted to a massive recourse to the practice of remote working, which in this study is understood as the term for the way of performing work outside the usual workplace and with the support of ICT. Currently, there are no flexible scales in the literature that allow measuring the benefits and disadvantages of remote working with a single instrument. Thus, the distinction between the positive and negative consequences of working remotely, substantiated by a solid literature, provides a framework for a systematical understanding of the issue. The aim of the present study is to develop and validate a scale on remote working benefits and disadvantages (RW-B&D scale). For this end, a preliminary Exploratory Factor Analysis (EFA) with 304 participants, a tailored EFA with a sample of 301 workers and a Confirmatory Factor Analysis (CFA) with 677 workers were conducted. Participants were all Italian employees who worked remotely during the period of the COVID-19 health emergency. Data were collected between October 2020 and April 2021. The psychometric robustness of the model was assessed through bootstrap validation (5000 resamples), fit indices testing and measurement of factorial invariance. The statistical analyses demonstrated the bifactorial nature of the scale, supporting the research hypothesis. The model showed good fit indices, bootstrap validation reported statistically significant saturations, good reliability indices, and convergent and discriminant validity. Measurement invariance was tested for gender and organisational sector. The results suggested that the novel scale facilitates the quantitative measurement of the benefits and disadvantages associated with remote working in empirical terms. For this reason, it could be a streamlined and psychometrically valid instrument to identify the potential difficulties arising from remote working and, at the same time, the positive aspects that can be implemented to improve organisational well-being.

     

Do rainfall conditions push or pull rural migrants: evidence from Malawi

This article uses nationally representative data from Malawi's 2004/05 Integrated Household Survey (IHS2) to examine whether rainfall conditions influence a rural worker's decision to make a long‐term move to an urban or another rural area. Results of a Full Information Maximum Likelihood regression model reveal that (1) rainfall shocks have a negative association with rural out‐migration, (2) migrants choose to move to communities where rainfall variability and drought probability are lower, and (3) rainfall shocks have larger negative effects on the consumption of recent migrants than on the consumption of long‐time residents.