Modeling a business to match its customer perceived （and customer desired） outcomes, remains an on-going task. This paper considers shows how a service value networks （SVNs） approach may be engaged to model, and d...Modeling a business to match its customer perceived （and customer desired） outcomes, remains an on-going task. This paper considers shows how a service value networks （SVNs） approach may be engaged to model, and deliver, understanding of the front-end business and its direct engagement with its immediate （or front-end） customers. These front-end customers may be either： （1） its off-line, in-store customers - engaging directly with the business sales staff （or representative）, or-（2） its on-line, virtual customers - engaging with the business via internet or remote access. In this situation, both the business, and the customer draw upon their respective viewpoints, and both sides influence the interaction. External to these business and customer influences are additional factors that capture the immediate and broader global effects - termed environmental effects. These three business-customer engagement areas of influence are captured by a SVN SEM approach. Without a business-customer encounter of some kind the likelihood of a services business, and a prospecting customer, successfully engaging in an exchange process is reduced. This exchange may be a physical, and/or services exchange, and/or an information and/or ideas exchange. To the business, this encounter is, in effect, a trade, and as a result, the business targets acquiring an economic exchange that will ultimately deliver a net positive economic outcome. To the customer, external and internal information feeds, servicing, perceived value, and satisfaction, are key encounter drivers. SVNs offers a new way to understand the business-customer encounter, and to then utilize this acquired knowledge to either： （1） build a strategic management model, or （2） reengineer its business networks, and to then create a re-positioned, more customer-aligned business operation - one that is capable of delivering win - win, competitive business-customer solutions.展开更多
目的·基于问题行为理论,构建结构方程模型,开展对于大学生社交网络成瘾的相关研究。方法·在上海市某高校一、二年级本科生中开展关于大学生社交网络成瘾的横断面问卷调查,采用Logistic回归分析性别、年级、学习压力、自尊、...目的·基于问题行为理论,构建结构方程模型,开展对于大学生社交网络成瘾的相关研究。方法·在上海市某高校一、二年级本科生中开展关于大学生社交网络成瘾的横断面问卷调查,采用Logistic回归分析性别、年级、学习压力、自尊、孤独感、抑郁、困顿感、挫败感、人际需求、社会支持、吸烟、饮酒、运动和学习成绩对社交网络成瘾的影响。以问题行为理论为理论框架,构建大学生社交网络成瘾的理论框架模型。结果·60.31%(591/980)的低年级大学生有社交网络成瘾情况。单因素Logistic回归结果显示:抑郁、自尊、孤独感、挫败感、困顿感、社会支持、人际需求、运动和学习成绩对社交网络成瘾有显著影响。研究构建的大学生社交网络成瘾的结构方程模型拟合结果良好[S-Bχ^(2)/df=8.03,拟合指数(goodness-of-fit index,GFI)=0.924,比较拟合指数(comparative fit index,CFI)=0.909,非规范拟合指数(Tucker-Lewis index,TLI)=0.872,近似误差均方根(root mean square error of approximation,RMSEA)=0.096,标准化残差均方根(standardized root mean square residual,SRMR)=0.070],提示人格系统与社会环境系统之间、人格系统与行为系统之间、社会环境系统与行为系统之间均相互影响(β=1.018,P=0.000;β=0.218,P=0.003;β=0.268,P=0.000)。人格系统和行为系统对社交网络成瘾的影响在统计学上不存在显著性,社会环境系统对社交网络成瘾有显著的正向影响(β=0.481,P=0.001)。结论·人格系统和行为系统通过影响社会环境系统间接影响社交网络成瘾,社会环境系统直接影响社交网络成瘾。对于低年级大学生社交网络成瘾问题,应当充分尊重大学生的特点,从系统3个层面共同入手,降低大学生社交网络成瘾风险。展开更多
文摘Modeling a business to match its customer perceived （and customer desired） outcomes, remains an on-going task. This paper considers shows how a service value networks （SVNs） approach may be engaged to model, and deliver, understanding of the front-end business and its direct engagement with its immediate （or front-end） customers. These front-end customers may be either： （1） its off-line, in-store customers - engaging directly with the business sales staff （or representative）, or-（2） its on-line, virtual customers - engaging with the business via internet or remote access. In this situation, both the business, and the customer draw upon their respective viewpoints, and both sides influence the interaction. External to these business and customer influences are additional factors that capture the immediate and broader global effects - termed environmental effects. These three business-customer engagement areas of influence are captured by a SVN SEM approach. Without a business-customer encounter of some kind the likelihood of a services business, and a prospecting customer, successfully engaging in an exchange process is reduced. This exchange may be a physical, and/or services exchange, and/or an information and/or ideas exchange. To the business, this encounter is, in effect, a trade, and as a result, the business targets acquiring an economic exchange that will ultimately deliver a net positive economic outcome. To the customer, external and internal information feeds, servicing, perceived value, and satisfaction, are key encounter drivers. SVNs offers a new way to understand the business-customer encounter, and to then utilize this acquired knowledge to either： （1） build a strategic management model, or （2） reengineer its business networks, and to then create a re-positioned, more customer-aligned business operation - one that is capable of delivering win - win, competitive business-customer solutions.
文摘目的·基于问题行为理论,构建结构方程模型,开展对于大学生社交网络成瘾的相关研究。方法·在上海市某高校一、二年级本科生中开展关于大学生社交网络成瘾的横断面问卷调查,采用Logistic回归分析性别、年级、学习压力、自尊、孤独感、抑郁、困顿感、挫败感、人际需求、社会支持、吸烟、饮酒、运动和学习成绩对社交网络成瘾的影响。以问题行为理论为理论框架,构建大学生社交网络成瘾的理论框架模型。结果·60.31%(591/980)的低年级大学生有社交网络成瘾情况。单因素Logistic回归结果显示:抑郁、自尊、孤独感、挫败感、困顿感、社会支持、人际需求、运动和学习成绩对社交网络成瘾有显著影响。研究构建的大学生社交网络成瘾的结构方程模型拟合结果良好[S-Bχ^(2)/df=8.03,拟合指数(goodness-of-fit index,GFI)=0.924,比较拟合指数(comparative fit index,CFI)=0.909,非规范拟合指数(Tucker-Lewis index,TLI)=0.872,近似误差均方根(root mean square error of approximation,RMSEA)=0.096,标准化残差均方根(standardized root mean square residual,SRMR)=0.070],提示人格系统与社会环境系统之间、人格系统与行为系统之间、社会环境系统与行为系统之间均相互影响(β=1.018,P=0.000;β=0.218,P=0.003;β=0.268,P=0.000)。人格系统和行为系统对社交网络成瘾的影响在统计学上不存在显著性,社会环境系统对社交网络成瘾有显著的正向影响(β=0.481,P=0.001)。结论·人格系统和行为系统通过影响社会环境系统间接影响社交网络成瘾,社会环境系统直接影响社交网络成瘾。对于低年级大学生社交网络成瘾问题,应当充分尊重大学生的特点,从系统3个层面共同入手,降低大学生社交网络成瘾风险。
