Abstract

This study aims to develop professional competency indices and their subindices as needed by the solar energy industry, to establish a basis for development of the engineering education curriculum. The methodologies adopted by the study are literature analysis, expert advisories, and focus groups. The study focuses on the establishment of competency indices by experts at stock market-listed companies and then confirms these competencies with focus groups. The study found that the competencies required by the solar industry consist of knowledge, skills, and attitudes in the areas of materials development and applications, photovoltaic technology, cell manufacturing technology, biotechnology, chemical technology, power generation and electricity, process development and improvement, data collection and analysis, industry regulation, green energy beliefs, and working attitudes and values. The results of this study can be used as the basis for the cultivation, selection, and employment of industry professionals.

1. Introduction

Green energy is an important industrial sector in this era of international competition. This energy sector includes (1) the main industries of solar photovoltaic and LED lighting and (2) the general potential industries of wind power, biofuels, hydrogen and fuel cells, energy information and communication, and electric vehicles among others [1]. The solar energy industry is one of the most important “green energy’’ industries. The output value of Taiwan’s solar industry as a whole is expected to exceed 15 billion NTD in 2015, with the silicon solar cell module accounting for much of it, at the same time as it ranks number 4 in the world [1]. The maintenance of international competitiveness and sustainable development in the industry in the future will mainly depend on the quality of the industry’s human resources. How to provide the professional competencies needed by the industry and to further develop curricula to nurture talent are the core priorities of engineering education.

Research into the solar industry in the past has focused primarily on several different but related areas, including business strategy, scientific knowledge and technology, tools and software applications, processes, and optimisation development. For example, in the area of business strategy, Chang and Kuo [2] studied two sets of dynamic business competencies needed in the industry; in the technical area, there was a study of Kuo et al. [3]. In professional competencies and solar energy competency standards and applications, O’net [4] established 51 industrial competency standards. Although there are not many studies focusing on how to teach energy technologies in engineering education, there is still energy education research related to ecology by Acikgoz [5] and the literature of solar energy education investigated by Dalitz et al. [6]. In summary, solar industry engineer training studies mainly take competence-based and resource-based perspectives. Competence-based approaches can help build the core competencies of solar business professionals, so that enterprises can develop their core competencies with market segmentation. In terms of business strategy, resource-based approaches regard the professional talents of solar industry engineers as one of an enterprise’s core resources, on the basis of which maximum benefit may be generated from the competitive market for the organisation, through the domination and appropriate allocation of resources.

In recent years, the solar industry has had to adapt to an ultracompetitive environment. An enterprise’s competitive advantage derived from resource strength is quickly eroded as a result of its competitors’ technological innovations [7, 8]. Moreover, the operations of international companies in the solar industry generally focus on the vertical integration of the supply chain, while Taiwan’s manufacturers mostly focus on specialised manufacturing [9, 10]. In view of the rapid changes in the technical content of a business’s technologies, and since Taiwan’s advantages are in manufacturing, one of the biggest problems of engineering education is how to keep up with the changes in the professional competencies required by the industry and how to plan and design the curricula needed to foster the talent required for industrial development. Therefore, to establish a basis for the solution of this problem, this study aims to establish professional competency indices and their subindices for the solar energy industry. The research may contribute, firstly, as a basis for the planning and designing of the curriculum for the training of engineers in higher education and, secondly, in the industrial sector, as an important reference for enterprises needing to select, train, and utilise their human resources or to cultivate management’s successors.

2. Theoretical Background

The solar industry requires highly talented professionals. Competence-based and resource-based theories have been regarded as two important approaches to supporting the competency and developing the talent of professionals working in the solar industry. Only if workers have the appropriate competencies can they perform their tasks satisfactorily, making competency extremely important [11, 12]. “Competency,’’ here, can be defined as a prerequisite for a particular occupation, or a set of performance standards, as well as the ability to complete the work/task [13]. In competence-based theory, I-O psychologists generally take the competency model formed by KSAOs (Knowledge, Skill, Ability, Others) as a suitable way to describe the critical capabilities required for performing a particular job [14]. Therefore, “Competency’’ can also be regarded as the set of capabilities that you should have when engaging in a particular task [15]. This competency can be further subdivided into general competency, management competency, professional competency, and core competency [16]. With the professional competency expected by the employer establishing a baseline, the techniques and skills exhibited by technical personnel allow prediction of their job performance [17, 18].

The resource-based approach regards professional talent as a rare, unique, irreplaceable but intangible asset of the solar industry, on the basis of which the competitive advantage of the enterprise can be created [19]. In other words, the resource-based approach considers the unique resources within the enterprise as the fundamental source of competitive advantage of solar industry enterprises but with the talent of the individual engineers working there forming the core of this unique resource [2]. When an individual possesses the professional competencies required for performing his job, he owns the resources value desired by the enterprise, allowing him to be hired from the labour market. Therefore, following Sandberg and Pinnington [13], this study defines professional competencies as a set of capabilities possessed by university graduates allowing them to successfully perform the task when engaged in professional missions in the field of solar energy.

3. Dimensions of Professional Competency

In their study of solar company executives, Chang and Kuo [2] pointed out that solar executives should have a common core of dynamic competencies listed as follows: environmental sensing competencies, learning absorption competency, social networking competencies, and coordination and integration competencies. In addition, particular dynamic competencies required will include competency in discerning market growth momentum, competency in mastering market timing, and competency in changing or creating customer demand. Meanwhile, from the route of structuralism, the various dimensions of professional competency, as seen by the engineering education certification standards of ABET [20], include the important core competencies of problem solving, innovation, and information competency. The problem of competency gaps that these different approaches throw up was explored by Abdullah et al. [21] with their advocating of the idea of soft and hard skills, the former including ICT skills, personal qualities, thinking skills, interpersonal skills, management skills, and communication skills. Cilliers [22] regarded that these soft skills should also include “ability to produce reports,’’ while the hard skills should include “practical usage of software tools,’’ “circuit construction,’’ “operating and troubleshooting systems and equipment,’’ “process, control, and installation,’’ and “quality and reliability testing’’. On the other hand, in “Solar Energy Systems Engineers’’, O’net [4] lists the titles of this job, ten major tasks of engagement required by the job, and data collected for each competency application including tools and technology, interests, work values, wages, and employment trends.

In summary, based on the 51 competency standards in O’net [4] and the work of Cilliers [22], Kuo and Sheen [23], Abdullah et al. [21], and others, this study drafted 11 professional competencies (with their subcompetencies) as follows: materials development and application competency, photovoltaic technology competency, cell manufacturing technology competency, biotechnology competency, chemical technology competency, power generation and power competency, process development and improvement competency, data collection and analysis competency, regulation competency, green energy beliefs competency, and work attitudes and values competency.

4. Methodology

4.1. Literature Analysis

The aim is through literature analysis to obtain the professional competencies and subcompetencies that should be possessed by working solar engineers, as a basis for expert advisories and expert focus group discussion.

4.2. Expert Advisory

As they show the point of view of the enterprises employing engineers, the aim of the expert advisory is to establish the professional competency dimensions and to obtain the professional competencies required of working engineers, as expressed by company representatives. Samples were ten Taiwan solar companies listed on the stock market, two upstream in the solar raw materials industry, five midstream in the solar manufacturing industry, and three downstream in the solar module and integration industry, with subjects interviewed coming from middle and upper-level management.

4.3. Focus Group Method

The aim is to edit the draft subcompetencies developed for each professional competency dimension. The composition of expert groups is shown in Table 1. In terms of sampling, of the total existing 122 Taiwan solar manufacturers, representatives from the upstream solar raw materials industry (e.g., pure metals, iron and titanium alloys and other metal materials, and silicon chip production); the midstream solar manufacturing industry (e.g., amorphous silicon thin film solar cells and modules; monocrystalline and polycrystalline silicon solar cells and modules; silicon solar cells and modules; polysilicon solar cells and modules; and silicon thin film solar cells), and the downstream solar module and integration industry (e.g., small-scale solar power systems, solar electric power converters, and solar power systems) were gathered. In three focus group meetings, industrial and academic experts were jointly invited to discuss the draft, with the invited industrial experts coming from manufacturers with a scale of more than 30 employees, and totalling 45 experts as working-level heads. From academia, nine scholars within the field were also invited to participate in the discussion.

5. Results and Discussion

This study found that solar industry professional competency is composed of 11 professional dimensions, with each professional competency composed of several subdimensions, as shown in Table 2. In the application of research methods in response to a need to establish the professional competencies required in an industry, the DACUM (Develop A Curriculum) method is usually used, with the experts using brainstorming techniques to obtain the needed professional skill directory/listing [24]. On the other hand, in the Delphi method, the experts’ anonymous input is used to seek advisory consistency between the professional competency and its subcompetencies [25]. In the V-tech method, the enterprise survey emphasises a large sample within a single industry to get a list of general professional competencies needed for engagement in the specific professional career [26]. This study adopted the expert advisory method, emphasising qualitative expert interviews through close contact with benchmark solar companies listed on the stock market. Together with the focus group method, through discussions with solar industry experts, the professional competencies and their subcompetencies in the solar industry were thus confirmed. Therefore, the research method adopted by this study can essentially be regarded as an application of the DACUM method.

In terms of subcompetencies, the professional engineers sought in the solar job market not only necessarily possess technical knowledge and hard skills but also need soft skills. The talent to develop materials and processes that satisfy market demand is composed of soft and hard skills [27, 28]. Each competency dimension and subdimension obtained by this study are composed of three fields, namely, knowledge, skill, and attitude. Moreover, all the important soft skills are also fully covered in the study, at the same time as both the mental model and system concepts are adopted [29], in line with the requirement to foster professional talent.

6. Conclusions

Although international competition in green energy is fierce, fuelled by a demand for human technology that will achieve global ecological sustainability, the industry still attracts universal attention. Since talent is the force that drives industrial development, this study selected the industry, and solar energy in particular, as the topic of research. The study is grounded in competence-based and resource-based theories, regarding solar energy professionals to be the important human resource of enterprises, and understanding they need to possess various basic competencies to perform their job duties. Therefore, this study selected benchmarking enterprises that are listed on the stock market from the upstream, midstream, and downstream sectors of the Taiwanese solar energy industry as the source of its expert advisories for its professional competency dimensions, coupled with focus group meetings to establish professional solar industry subcompetencies. In summary, this study found 11 professional competencies, with subcompetencies, which can be regarded as professional standards required by university graduates to become working professional engineers.

In terms of practical applications, the results of this study can be used as selection criteria for enterprises in the field of solar energy for the further development of their staff or as professional-level assessment criteria for recruitment and promotion. In the area of university education, the results of this study can be also used as a basis for planning and designing curricula for programs in renewable and sustainable energy. In the future, the implementation of such curricula is expected to nurture the talent appropriate to the needs of the solar industry, benefitting the industry by closing the gap between those needs and the present competencies of university graduates. Therefore, this study specially demonstrates the contributions to engineering education associated with a concentration on the solar industry’s training needs, at the same time as it benefits the industry’s own selection and employment need.

As for research restrictions, the study only focuses on professional competencies common to all solar enterprises and does not focus on professional competencies required by specific enterprises upstream, midstream, or downstream. This study also did not explore the subcompetencies of a single solar expertise, that of process design, software and hardware technologies, and tools applications. We invite interested researchers to carry out further studies.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The authors acknowledge the financial support of NSC 102-3113-S-003-008-G and NSC 102-3113-S-262-001.