Search results

This paper aims to investigate the reaction to the use of senior models in ads by older consumers while taking into account their spiritual dimension in the context of ageing.

This research relies on a qualitative approach and the narrative analysis of 40 transcribed interviews with older adults of age 50-83.

Interviews with senior respondents confirm that ageing is a challenging individual process in the context of which spiritual needs emerge. Taking these needs into account helps understand the reaction of older consumers to the use of senior models in ads. It also reveals the potential of this marketing practice to respond to spiritual needs in the context of ageing.

This paper contributes to the understanding of older consumers’ reaction to the senior models they see in ads. It reveals the necessity to take spiritual needs into account to fully understand consumer behavior at old age. This paper contributes to the understanding of older consumers’ reaction to the senior models they see in ads. It reveals the necessity to take spiritual needs into account to fully understand consumer behavior at old age.

This paper provides practical guidance to advertising professionals on the use of senior models in ads.

This research reveals that the adequate representation of older models in advertisements can help fight the negative stereotypes associated with ageing and contributes to highlighting the major role played by older adults in society.

This research is the first to investigate the relationship of older consumers to the senior models used in advertisements while taking into account their spiritual dimension. It extends the existing research on older consumers and advertising, especially their perception of senior models.

Aging research has traditionally been an important research topic in the field of Library and Information Science(LIS). The study of aging enables us to grasp the extent of development and the status of aging in LIS. The purpose of this paper is to explore the current law of aging in LIS and to research the impact of interdisciplinary citations on the aging of the discipline.

By using citation analysis methods and fitting them using the Barnett aging model, the aging law of LIS is explored with the help of aging indicators such as citing half-life and Price Index. For interdisciplinary study, the authors explore the pattern of interdisciplinary citations distribution by distinguishing LIS and non-LIS citations by journal name.

The results show that LIS is currently aging slowly and has reached a relatively mature stage. It has a high reliance on archival literature. The interdisciplinary citations distribution is broadly consistent with the overall citation distribution, and interdisciplinary citations can increase the age of applicability of the literature.

Based on LIS journal citation data, the paper validates the rationality of Barnett model applied in the field of literature aging research using nonlinear regression analysis, which can effectively reflect the aging law of literature and enable scholars to predict its development trend more accurately. In addition, according to the current trend of interdisciplinary citation, this paper explores the impact of interdisciplinary citations on the aging of the literature and provides a new idea for future aging research.

As the workforce is aging and becoming increasingly age diverse, successful aging at work has been proclaimed to be a desirable process and outcome, as well as a responsibility of both workers and their organizations. In this chapter, we first review, compare, and critique theoretical frameworks of successful aging developed in the gerontology and lifespan developmental literatures, including activity, disengagement, and continuity theories; Rowe and Kahn’s model; the resource approach; the model of selective optimization with compensation; the model of assimilative and accommodative coping; the motivational theory of lifespan development; socioemotional selectivity theory; and the strength and vulnerability integration model. Subsequently, we review and critically compare three conceptualizations of successful aging at work developed in the organizational literature. We conclude the chapter by outlining implications for future research on successful aging at work.

As a result of the deregulations in the power system networks, diverse beneficial operations have been competing to optimize their operational costs and improve the consistency of their electrical infrastructure. Having certain and comprehensive state assessment of the electrical equipment helps the assortment of the suitable maintenance plan. Hence, the insulation condition monitoring and diagnostic techniques for the reliable and economic transformers are necessary to accomplish a comprehensive and proficient transformer condition assessment.

The main intent of this paper is to develop a new prediction model for the aging assessment of power transformer insulation oil. The data pertaining to power transformer insulation oil have been already collected using 20 working power transformers of 16-20 MVA operated at various substations in Punjab, India. It includes various parameters associated with the transformer such as breakdown voltage, moisture, resistivity, tan δ, interfacial tension and flashpoint. These data are given as input for predicting the age of the insulation oil. The proposed aging assessment model deploys a hybrid classifier model by merging the neural network (NN) and deep belief network (DBN). As the main contribution of this paper, the training algorithm of both NN and DBN is replaced by the modified lion algorithm (LA) named as a randomly modified lion algorithm (RM-LA) to reduce the error difference between the predicted and actual outcomes. Finally, the comparative analysis of different prediction models with respect to error measures proves the efficiency of the proposed model.

For the Transformer 2, root mean square error (RMSE) of the developed RM-LA-NN + DBN was 83.2, 92.5, 40.4, 57.4, 93.9 and 72 per cent improved than NN + DBN, PSO, FF, CSA, PS-CSA and LA-NN + DBN, respectively. Moreover, the RMSE of the suggested RM-LA-NN + DBN was 97.4 per cent superior to DBN + NN, 96.9 per cent superior to PSO, 81.4 per cent superior to FF, 93.2 per cent superior to CSA, 49.6 per cent superior to PS-CSA and 36.6 per cent superior to LA-based NN + DBN, respectively, for the Transformer 13.

This paper presents a new model for the aging assessment of transformer insulation oil using RM-LA-based DBN + NN. This is the first work uses RM-LA-based optimization for aging assessment in power transformation insulation oil.

Scientific writings age; individual documents, issues or volumes of scientific journals are, eventually, less valued and less used with the passage of time. Long periods of time, say more than several decades, render portions of the literature obsolete, and ‘aging’ is evident. However, controversy has developed recently about quantitative models, particularly Brookes, which proposes a systematic exponential aging process for the corpus of library periodical holdings. In disagreement with these models, Sandison presents use patterns showing no aging; and Line points to methodological difficulties in demonstrating aging. Both the models, and the questions raised regarding their validity are of considerable interest and importance to our understanding of the nature of scientific information and the management of collections. We show, here, that citation data conform well to the Brookes model, but the chief findings regard the nature of the aging process and its apparent range within scientific literatures. A scientific journal which is used as an archive ages slowly; one which supports a research front ages quickly. Aging depends not merely on the material itself, but its user, and a single journal may be aged very differently by different user communities. Lastly, aging rates vary among journals, and it is relatively easy to identify journals which age at about the rate at which the literature grows and journals which appear to exhaust most of their utility within a few years.

Middle-aged and elderly users become an important group on short-video platforms, however, the research on determinants of their video-creating intention is limited. Based on lifespan development theories, this study examines the impact of aging experiences on their video-creating intention, considering internal generative motivations as mediators and age as a moderator.

To test this study’s hypotheses, survey data from 321 Chinese middle-aged and elderly short-video users were collected and partial least square-structural equation modelling (PLS-SEM) approach was used to analyze these data.

Middle-aged and elderly users' aging experiences of social loss and personal growth are positively related to their video-creating intention. Aging experiences (i.e. physical loss, social loss, and personal growth) are positively related to internal generative motivations (i.e. need to be needed and symbolic immortality), and need to be needed is positively related to video-creating intention. Via the mediation of need to be needed, physical loss and personal growth are indirectly positively related to video-creating intention. Personal growth strengthens the relationship between physical loss and symbolic immortality, but weakens the associations of social loss with need to be needed and symbolic immortality. Age weakens the relationship between symbolic immortality and video-creating intention.

This study is the first wave to introduce and integrate lifespan theories such as selective optimization with compensation model, socioemotional selectivity theory, and generativity theory to explore the impacts of aging experiences on middle-aged and elderly users' video-creating intention by considering generativity motivations as mediators and age as a moderator.

Based on organizational support theory, the aim of this paper is to examine the associations among perceived organizational support, successful aging in the workplace, job satisfaction, and the intentions to stay in organization among older workers.

In total, 242 employees, aged over 45 years, were recruited to participate in a study from May to September 2009.

Correlation showed that perceived organizational support and all five dimensions of successful aging in the workplace, (i.e. adaptability and health, positive relationship, occupational growth, personal security, and continued focus on goals), were significantly related to the intentions to stay in the organization. Structural equation modeling showed that perceived organizational support was positively related to successful aging in the workplace, and the latter is related to the intentions to stay, both directly and via the mediation of job satisfaction.

All data were self‐reported and collected at one time point. Thus, common method variance may be an issue and causal inferences are not warranted.

Successful aging in the workplace was significantly related to older workers' intentions to stay. Managers may provide a wide range of organizational support and enhance successful aging in the workplace for older workers.

This is the first study to empirically test the relations between successful aging in the workplace and intentions to stay among older workers. Implications of these findings, the limitations of the study, and directions for future research are discussed.

The last reformation in Iran’s population policy was announced inside “General Population Policy” (GPP) in 2013. One of the main objectives of the GPP is controlling population aging. The aim was to designing and evaluating different scenarios for achieving this objective.

For this purpose, a system dynamics model was built from cohort age groups. The model simulated Iran’s population structure from 2000 to 2050. The system dynamics model was validated in 2000 till 2011 period (R² = 94%). Data were extracted from the United Nations population division repository and represent a reducing trend in the fertility rate of Iran. This situation was named the “base” scenario. The simulation results for this scenario showed that Iran will face aging such that between 2000 and 2050 the median age will increase from 25 to 43 years. Based on these results, the base scenario could not achieve the GPP objective. So three alternative scenarios were designated: stabilization, increasing and hyper increasing.

The median age and the aging index are descending only in the hyper increasing scenario which means controlling aging. Therefore, the hyper increasing scenario is the only way to realize the GPP’s objective. To realize the hyper increasing scenario, it is essential to consider the total dependency ratio which shows the level of pressure on the workforce. Reducing this pressure increases the propensity to have more children (fertility index) and this is essential for maintaining high fertility rate.

The value of the research rests on a precise simulation model to forecast the population structure and aging. The research will serve as a guide for Iranian policymaker and support strong recommendations to bring the GPP along with supporting policies such as childbearing and child care assistance.

There is always a significant amount of speculation as to how the American diet changes over time. Some of speculation is based on what’s good for people, and others base their speculation on various supply and demand issues and the impact of world social changes. However one approach to forecasting the demand for various food products in the American diet is to extrapolate how America’s eating habits would change based on two different scenarios. The first scenario is an cohort model. In this scenario individuals continue their eating habits as they get older. The second scenario is the aging model, with which it is assumed that as people age they adopt the eating habits of the group that they’re moving into.

In this chapter we will evaluate these two scenario-based extrapolation models for projecting food consumption. Data comes from the National Health and Nutrition Examination survey (NHANES), which is conducted regularly by the National Center for Health Statistics (NCHS). It measures levels of consumption with a level accuracy usually not associated with traditional business data services. The specific food items consumed in a 24-hour period are collected for over 30,000 people along with an extensive list of biometric, anthropometric, social, and clinical variables.

The models we evaluate assume that new consumers will enter the market based on projected population growth rates and that consumers “exit” the market based on projected death rates. This chapter applies the models to a subset of the total food variables in the database. Food groups that are pertinent to current issues were selected, such as beef, carbonated soft drinks, and snack foods.

The models forecast food consumption of the by 5 year increments from age 1 to age 85+ an aging cohort model extrapolate how eating habits could be expected to changeover this time interval. The implications of this exercise are essential to the forecasting and management of food processors. The extrapolations may provide guidance for potential changes in capital investment or entry into other markets.

The purpose of this study is to test the efficiency of the “gerontographics” model in predicting selected consumer behaviours in older adults.

Through regression analysis, a large sample of older Thai adults is used to test the predictive power of gerontographics against predictive measures based on both chronological age and cognitive age.

The findings of the study show that the gerontographics model is more powerful in predicting certain types of older adults’ consumer behaviour than chronological age or cognitive age.

These findings have implications for marketing and business strategies because they suggest that gerontographics segmentation may be a more useful and effective way to segment older consumers.