Home-Based Teleshopping and Shopping Travel

2005 ◽  
Vol 1926 (1) ◽  
pp. 212-223 ◽  
Author(s):  
Christopher E. Ferrell
Keyword(s):  
San Francisco ◽  
Structural Equation ◽  
Equation Modeling ◽  
Information And Communications Technologies ◽  
Home Shopping ◽  
Bay Area ◽  
Home Based ◽  
Communications Technologies ◽  
Shopping Trips ◽  
Shopping Travel

Structural equation modeling techniques were used to explore the tradeoffs that people make when teleshopping from home. Early in the development and growth of online shopping, many assumed that it would become a direct substitute for traditional retail (out-of-home) shopping and thereby reduce shopping trips and vehicle miles traveled. A growing body of research on the interplay between the use of information and communications technologies suggests that people shop and travel for a multitude of reasons that depend on the interplay between lifestyle, availability and convenience of shopping opportunities and the demands of other activities during the day. Using the San Francisco Bay Area Travel Survey 2000 from California, this paper performs an activities analysis to investigate these relationships. Time use variables predict the amount of time each individual spends during the day on work, maintenance, discretionary, and shopping activities both inside and outside the home. These activities are used to predict the amount of shopping travel each person undertook. Results suggest that people substitute home teleshopping time for shopping travel time and that teleshoppers take fewer shopping trips and travel shorter total distances for shopping purposes. Variables constructed to represent the degree to which people are “time-starved” from the demands of their work and maintenance activities revealed that female heads of households tend to teleshop more, make more shopping trips and shopping trip chains, do more out-of-home shopping, and shop travel for longer periods than the rest of the survey population.

scholarly journals Cost-Benefit Analysis of Novel Access Modes: A Case Study in the San Francisco Bay Area

2020 ◽  
Author(s):  
Caroline Rodier ◽  
Andrea Broaddus ◽  
Miguel Jaller ◽  
Jeffery Song ◽  
Joschka Bischoff ◽  
...  
Keyword(s):  
San Francisco ◽  
San Francisco Bay ◽  
Cost Benefit Analysis ◽  
San Francisco Bay Area ◽  
Automated Vehicles ◽  
Meeting Point ◽  
Bay Area ◽  
Home Based ◽  
Service Models ◽  
Transit Agencies

The first-mile, last-mile problem is a significant deterrent for potential transit riders, especially in suburban neighborhoods with low density. Transit agencies have typically sought to solve this problem by adding parking spaces near transit stations and adding stops to connect riders to fixed-route transit. However, these measures are often only short-term solutions. In the last few years, transit agencies have tested whether new mobility services, such as ridehailing, ridesharing, and microtransit, can offer fast, reliable connections to and from transit stations. However, there is limited research that evaluates the potential impacts of these projects. Concurrently, there is growing interest in the future of automated vehicles (AVs) and the potential of AVs to solve this first-mile problem by reducing the cost of providing these new mobility services to promote access to transit. This paper expands upon existing research to model the simulate the travel and revenue impacts of a fleet of automated vehicles that provide transit access services in the San Francisco Bay Area offered over a range of fares. The model simulates a fleet of AVs for first-mile transit access at different price points for three different service models (door-to-door ridehailing and ridesharing and meeting point ridesharing services). These service models include home-based drop-off and pick-up for single passenger service (e.g., Uber and Lyft), home-based drop-off and pick-up for multi-passenger service (e.g., microtransit), and meeting point multi-passenger service (e.g., Via).

scholarly journals ANALISIS PENGARUH LAYANAN BELANJA ONLINE TERHADAP PERJALANAN BERBASIS RUMAH DAN TEMPAT AKTIVITAS DENGAN METODE SEM

2020 ◽  
Vol 3 (4) ◽  
pp. 1017
Author(s):  
James Salim ◽  
Leksmono Suryo Putranto
Keyword(s):  
Structural Equation Modeling ◽  
Direct Effect ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Modeling ◽  
Shopping Centers ◽  
Online System ◽  
Shopping Trips ◽  
Derived Demand

Transportation is an activity which moving a person or an object from one place to another place. Transportation is done not for desire, it is a derived demand for humans to do the activities for fulfiling their daily needs. Shopping is one of the activities that comply their daily needs. Nowdays, online shopping is a trend. Besides easy to do, online shopping can be done any where and any time because of its online system. Along with the growth of online shopping, a lot of people prefer online shopping rather than traditional shopping to shops, markets, shopping centers and other places. Thisthings could change number of people on doing shopping trips. Thisresearch aimsto find out what factors effects someone’s decision to shop online and find out wether online shopping has a direct effect on shopping trips done by people. Data for this reseach collected by quistionnaire. This research will be done with Structural Equation Modeling (SEM) Method. This research shows that experience and trust are strong factors on someone for making decision to shop online and shows that online shopping did not effect directly to people’s shopping trips.ABSTRAKTransportasi adalah kegiatan perpindahan tempat orang atau suatu benda dari satu tempat ke tempat lainnya. Transportasi dilakukan bukan karena keinginan, melainkan sebuah kebutuhan turunan karena manusia harus melakukan aktivitas untuk memenuhi kebutuhan mereka sehari-hari. Belanja adalah salah satu kegiatan yang dilakukan untuk memenuhi kebutuhan sehari-hari. Belanja online sendiri menjadi sangat trend saat ini. Belanja online selain mudah untuk dilakukan, bisa dilakukan kapan saja, dimana saja karena sistemnya yang bersifat online. Seiring dengan perkembangan belanja online, tidak sedikit orang yang lebih memilih melakukan belanja online dibandingkan melakukan belanja langsung ke toko, pasar, pusat perbelanjaan, dan tempat lainnya. Hal ini bisa jadi mempengaruhi jumlah orang yang melakukan perjalanan belanja. Penelitian ini dilakukan mengetahui faktor apa saja yang berperan dalam keputusan seseorang melakukan belanja online dan mengetahui apakah belanja online berpengaruh secara langsung terhadap perjalanan belanja yang dilakukan masyarakat. Data untuk penelitian didapatkan melalui kuesioner. Penelitian ini akan menggunakan Metode Structural Equation Modeling atau SEM. Dari hasil penelitian didapatkan bahwa pengalaman dan kepercayaan adalah dua faktor yang kuat dalam penentuan keputusan seseorang melakukan belanja online dan belanja online tidak mempengaruhi perjalanan belanja secara langsung

Older consumers’ TV shopping: emotions and satisfaction

2017 ◽  
Vol 45 (3) ◽  
pp. 292-307 ◽  
Author(s):  
Chae Mi Lim ◽  
Youn-Kyung Kim
Keyword(s):  
Consumer Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Older Consumers ◽  
Emotional Factors ◽  
Home Shopping ◽  
Transportation Theory ◽  
Shopping Motivation ◽  
The Relationship

Purpose The purpose of this paper is to identify the emotional factors that affect older consumers’ satisfaction with TV shopping and examined the relationships among these factors. Design/methodology/approach A sample of 285 consumers aged 60 years and older who had watched a TV home shopping channel was used. Structural equation modeling (SEM) examined the relationships among emotional factors that affect satisfaction. Findings This study found that loneliness was an antecedent of both gratification shopping motivation and telepresence and that telepresence positively affected consumer satisfaction with TV shopping. Research limitations/implications The findings of this study validate social-compensation motive of media consumption and deficiency paradigm in the context of TV shopping. The relationship between telepresence and satisfaction also supported transportation theory. However, the findings of the current study should be interpreted with caution due to the non-random sampling method. Constructs other than those employed in this study could be examined regarding outcomes of loneliness. Practical implications This study suggested that telepresence and shopping for self-gratification are effective ways to alleviate older consumers’ loneliness. In addition, the findings from relationships among emotional variables suggested potential marketing strategies for shaping positive consumer attitudes toward and satisfaction with TV shopping networks. Originality/value This study extended knowledge on loneliness by demonstrating how it related to attitudinal outcomes such as satisfaction and knowledge on telepresence by examining it in the context of TV shopping.

Attitudinal Market Segmentation Approach to Mode Choice and Ridership Forecasting: Structural Equation Modeling

2003 ◽  
Vol 1854 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Maren L. Outwater ◽  
Steve Castleberry ◽  
Yoram Shiftan ◽  
Moshe Ben-Akiva ◽  
Yu Shuang Zhou ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
San Francisco ◽  
Structural Equation ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Choice Models ◽  
Equation Modeling ◽  
Research Strategies ◽  
Market Segments

The San Francisco Bay Area Water Transit Authority is evaluating expanded ferry service, as required by the California Legislature. As part of this process, Cambridge Systematics developed forecasts using a combination of market research strategies and the addition of nontraditional variables into the mode choice modeling process. The focus of this work was on expanding the mode choice model to recognize travelers' attitudes and different market segments. Structural equation modeling was used to simultaneously identify the attitudes of travel behaviors and the causal relationships between traveler's socioeconomic profile and traveler attitudes. Six attitudinal factors were extracted, and three of these were used to partition the ferry-riding market into eight segments. These market segments were used to estimate stated preference mode choice models for 14 alternative modes, which separated the travelers' reactions to time savings by market segment and which recognized that mode choices are different for market segments that are sensitive to travel stress or the desire to help the environment. The new mode choice models were applied within the framework of the Metropolitan Transportation Commission's regional travel model and calibrated to match modal shares, modes of access to each ferry terminal, ridership by route and time period, and person trips by mode at screening line crossings. Additional validation tests of significant changes in ferry service in recent years were used to confirm the reasonableness of the stated preference model. The model has been applied for three future year alternatives and to test the sensitivities of pricing, service changes, and alternative transit modes.

scholarly journals Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Mao Ye ◽  
Miao Yu ◽  
Zhibin Li ◽  
Fengjun Yin ◽  
Qizhou Hu
Keyword(s):  
Structural Equation ◽  
Household Survey ◽  
Primary Objective ◽  
Equation Modeling ◽  
Historic District ◽  
Contributing Factors ◽  
Historic Districts ◽  
Explanatory Variables ◽  
Home Based ◽  
Endogenous Variables

The primary objective of this study is to analyze the characteristics of commuting activities within the historical districts in cities of China. The impacts of various explanatory variables on commuters’ travels are evaluated using the structural equation modeling (SEM) approach. The household survey was conducted in the historical districts in Yangzhou, China. Based on the data, various individual and household attributes were considered exogenous variables, while the subsistence activity characteristics, travel times, numbers of three typical home-based trip chains, trip chains, and travel mode were considered as the endogenous variables. Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district. The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities. Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

Home-Based Telecommuting and Quality of Life: Further Evidence on an Employee-Oriented Human Resource Practice

2009 ◽  
Vol 104 (2) ◽  
pp. 395-402 ◽  
Author(s):  
Severin Hornung ◽  
Jürgen Glaser
Keyword(s):  
Quality Of Life ◽  
Human Resource ◽  
Structural Equation ◽  
Equation Modeling ◽  
Work Family Conflict ◽  
Human Resource Practice ◽  
Home Based ◽  
Flexible Working ◽  
Work Family

Building on previous research, further evidence for the potential of home-based telecommuting as an employee-oriented human resource practice is provided from a study in the German public administration. Survey data from 1,008 public employees were analyzed using structural equation modeling. Mean age of the sample was 43.6 yr. ( SD = 8.8 yr.), and 27.5% (277) of the participants were women. Analysis supported the roles of higher Autonomy and lower Work-Family Conflict as psychological mediators between Telecommunication Intensity and both Job Satisfaction and Quality of Life. Implications for the design of flexible working arrangements are discussed.

scholarly journals A Comparative Study of Users versus Non-Users’ Behavioral Intention towards M-Banking Apps’ Adoption

Information ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 30
Author(s):  
Vaggelis Saprikis ◽  
Giorgos Avlogiaris ◽  
Androniki Katarachia
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Banking Sector ◽  
Value Added ◽  
Business Strategies ◽  
Equation Modeling ◽  
Information And Communications Technologies ◽  
Use Of Technology ◽  
Financial Transactions ◽  
The Impact

The banking sector has been considered as one of the primary adopters of Information and Communications Technologies. Especially during the last years, they have invested a lot into the digital transformation of their business process. Concerning their retail customers, banks realized very early the great potential abilities to provide value added self-services functions via mobile devices, mainly smartphones to them; thus, they have invested a lot into m-banking apps’ functionality. Furthermore, the COVID-19 pandemic has brought out different ways for financial transactions and even more mobile users have taken advantage of m-banking app services. Thus, the purpose of this empirical paper is to investigate the determinants that impact individuals on adopting or not m-banking apps. Specifically, it examines two groups of individuals, users (adopters) and non-users (non-adopters) of m-banking apps, and aims to reveal if there are differences and similarities between the factors that impact them on adopting or not this type of m-banking services. To our knowledge, this is the second scientific attempt where these two groups of individuals have been compared on this topic. The paper proposes a comprehensive conceptual model by extending Venkatech’s et al. (2003) Unified Theory of Acceptance and Use of Technology (UTAUT) with ICT facilitators (i.e., reward and security) and ICT inhibitors (i.e., risk and anxiety), as well as the recommendation factor. However, this study intends to fill the research gap by investigating and proving for the first time the impact of social influence, reward and anxiety factors on behavioral intention, the relationship between risk and anxiety and the impact of behavioral intention on recommendation via the application of Confirmatory Factor Analysis and Structural Equation Modeling (SEM) statistical techniques. The results reveal a number of differences regarding the factors that impact or not these two groups towards m-banking app adoption; thus, it provides new insights regarding m-banking app adoption in a slightly examined scientific field. Thus, the study intends to assist the banking sector in better understanding their customers with the aim to formulate and apply customized m-business strategies and increase not only the adoption of m-banking apps but also the level of their further use.

Understanding the acceptance of the Internet of Things: an integrative theoretical approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ki Joon Kim ◽  
Sai Wang
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Equation Modeling ◽  
The Internet ◽  
Information And Communications Technologies ◽  
Information Systems Success ◽  
Content Type ◽  
The Internet Of Things

PurposeGuided by the frameworks of the technology acceptance model, uses and gratifications theory and the information systems success model, this study develops and validates an adoption model for the Internet of Things (IoT).Design/methodology/approachThe measurement and research models are statistically validated via a confirmatory factor analysis and a structural equation modeling analysis of data collected from 262 IoT users.FindingsThe results indicate that the IoT is expected to deliver accurate and up-to-date information via an accessible and reliable system to enhance its usefulness and ease of use, which leads to greater adoption. The results further reveal that sufficient knowledge and adequate understanding of the IoT outweigh technology discomfort, which, in turn, have a positive effect on individuals' motivation to use the IoT.Originality/valueThis study distills a rich set of antecedents to build a comprehensive theory of IoT acceptance and sheds light on the adoption of future pervasive information and communications technologies.

EFFECT OF MARKETING MIX ON TOURIST SATISFACTION AND LOYALTY IN TOURIST AREA OF BONO TELUK MERANTI PELALAWAN REGENCY

2021 ◽  
Vol 10 (1) ◽  
pp. 27-35
Author(s):  
Lismawati Kerta Febrina ◽  
Sri Kartikowati ◽  
Jahrizal Jahrizal
Keyword(s):  
Structural Equation Modeling ◽  
Direct Effect ◽  
Structural Equation ◽  
Marketing Mix ◽  
Equation Modeling ◽  
Product Price ◽  
Tourist Satisfaction ◽  
Bay Area ◽  
Modeling Analysis ◽  
Place Promotion

The study was conducted in the Bono Bay Area of ​​Meranti Bay, Pelalawan Regency. The aim is to find out the direct effect of the Marketing Mix on Tourist Satisfaction and Loyalty. This study took a sample of 145 people. The variables used are the dimensions of Marketing Mix, Tourist Satisfaction and Loyalty. Data were analyzed using SEM (Structural Equation Modeling) analysis which is operated through the SmartPLS 3.2.8 program The results showed that partially there was an effect of Product, Price, Place, Promotion, People, Process, Psychical evidence on Tourist Satisfaction. and there is the influence of tourist satisfaction on tourist loyalty. The higher the satisfaction that is owned by consumers, the loyalty of tourists is increasing.

Latino Parent Home-based Practices That Bolster Student Academic Persistence

2011 ◽  
Vol 33 (4) ◽  
pp. 490-506 ◽  
Author(s):  
Jasmine A. Mena
Keyword(s):  
Parental Involvement ◽  
School Engagement ◽  
Structural Equation ◽  
Formal Education ◽  
Latino Students ◽  
Academic Persistence ◽  
Equation Modeling ◽  
Academic Attitudes ◽  
School Year ◽  
Home Based

Home-based parental involvement practices (i.e., educational encouragement, monitoring, and support) and their impact on students’ academic persistence were investigated with a sample of 137, ninth-grade Latino students in a northeast high school. Structural Equation Modeling results indicate that the relationship between home-based parental involvement activities and students’ intentions to complete the next school year is mediated by students’ school beliefs (i.e., perceptions of school responsiveness, school engagement-trouble, academic attitudes, and academic self-efficacy). Home-based parental involvement influences children’s attitudes and beliefs about school culminating in students’ intentions to persevere academically. This study addresses the common misperception that Latino parents are not involved in their children’s formal education. An important implication of this study is that parents can have an impact on students’ academic persistence even if they are not able to attend school-based activities.

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