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The purpose of this study is to create a value variation measurement model to define the relationship among various roles in resource management within a service system; and divide value creation into two states (i.e. cocreation and codestruction) and use them as crucial indicators for value variation by adopting the service-dominant logic and using the Markov switching model.

This study proposed that variations in value are similar to changes in economy because both are abstract, indefinable and not easy to identify. Therefore, this study used the Markov switching model to define the state of value through value cocreation and codestruction; analyze value variations in a service system; and provide a numerical evaluation method by using the concept of probability to depict state transitions. In addition, open data from the Kaohsiung City Government’s 1999 call center were collected to address the aforementioned research objectives. The 1999 call center (service provider) offers citizens (customers) efficient consultant services to help them solve problems regarding the city government’s affairs or policies. Thus, this call center can be considered a complex service system.

This study revealed that the call center can utilize the analysis results of the Markov switching model on answer rates to predict service quality patterns. In addition, most first call resolution rates occurred under State 1 (value cocreation). To address problems caused by accidental or rare events, the call center should formulate policies to increase people and technical resources and improve service system effectiveness.

Enterprises currently focus on catering to customers’ needs and offering services through comprehensive service procedures to sustainably generate multiple values for customers, helping them to create values. Previous studies have mostly focused on analyzing the values of a service system and have failed to extensively explore actual value variations. Thus, the value variation measurement model proposed in the present study was able to analyze value variations of a set of call center data and illustrate value variations by using state transitions.

To deepen our understanding about the development of turnover intention, the purpose of this paper is to develop a model that explains how ethical climate influences turnover intention based on the ethical climate theory and social identity theory.

The hypotheses of this study were statistically tested using a survey of working professionals from Taiwan’s high-tech industry. Of the 400 questionnaires distributed to the working professionals from five large high-tech firms in a well-known science park in Northern Taiwan, 352 usable questionnaires were returned for a questionnaire response rate of 88 percent.

The test results of this study first show that all three dimensions of ethical climate (i.e. instrumental, benevolent, and principled) are indirectly related to turnover intention via the mediation of firm attractiveness. Moreover, instrumental and benevolent climate directly relate to turnover intention, whereas benevolent climate negatively moderates the relationship between principled climate and firm attractiveness.

This study finds that benevolent climate plays a dual role as an antecedent and a moderator in the formation of turnover intention, complementing prior studies that merely concentrate on the single role of benevolent climate as either an antecedent or a moderator. The effect of principled climate on organizational identification complements the theoretical discussion by Victor and Cullen (1987) about deontology in which an ethical workplace climate (such as legitimacy) drives employees to invest in identity attachments to the organization and influences their future career decision (e.g. turnover).

The aim of this paper is to examine the effects of light controlling system that combined high refractive particles (n-TiO₂ [titanium dioxide – TiO₂]) and tartrazine lake dye (TL dye) on thickness, flexural strength, flexural modulus and surface details of the 3D-printed resin.

Influences of different concentrations of n-TiO₂ and TL dye in light-cured resin formulations for 3D printing (3DP) application were evaluated, including curing thickness, flexural strength and surface details under scanning electron microscopy.

The polymerization thickness of samples containing both n-TiO₂ and TL dye was lower compared to samples with TL dye solely. Samples containing more n-TiO₂ and more TL dye exhibited lower flexural strength and modulus. Ramp models showed that for samples containing 1 per cent TL dye, when their n-TiO₂ content increased from 1 to 5 per cent, surface laminate structures became sharper. However, when the TL dye content doubled to 2 per cent, the surface laminate structures were indefinite compared to 1 per cent TL dye-containing counterparts.

In visible-light 3DP, light controlling system in cooperate dye with high refractive particles provides better energy distribution and scattering control. High refractive particles, dyes and light exposure time had influenced the surface resolution and mechanical properties of the 3DP products.